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<h1 class="title toc-ignore">MRP with rstanarm</h1>
<h4 class="author">Lauren Kennedy and Jonah Gabry</h4>
<h4 class="date">2020-07-19</h4>


<div id="TOC">
<ul>
<li><a href="#the-data">The Data</a></li>
<li><a href="#exploring-graphically">Exploring Graphically</a><ul>
<li><a href="#comparing-sample-to-population">Comparing sample to population</a></li>
</ul></li>
<li><a href="#effect-of-the-post-stratification-variable-on-preference-for-cats">Effect of the post-stratification variable on preference for cats</a><ul>
<li><a href="#interaction-effect">Interaction effect</a></li>
<li><a href="#design-effect">Design effect</a></li>
</ul></li>
<li><a href="#mrp-with-rstanarm">MRP with rstanarm</a><ul>
<li><a href="#population-estimate">Population Estimate</a></li>
<li><a href="#estimates-for-states">Estimates for states</a></li>
</ul></li>
<li><a href="#other-formats">Other formats</a><ul>
<li><a href="#alternate-methods-of-modelling">Alternate methods of modelling</a></li>
</ul></li>
<li><a href="#appendix">Appendix</a><ul>
<li><a href="#examples-of-other-formulas">Examples of other formulas</a></li>
<li><a href="#code-to-simulate-the-data">Code to simulate the data</a></li>
</ul></li>
<li><a href="#references">References</a></li>
</ul>
</div>

<!--
%\VignetteEngine{knitr::rmarkdown}
%\VignetteIndexEntry{MRP with rstanarm}
-->
<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb1-1" title="1"><span class="kw">library</span>(rstanarm)</a>
<a class="sourceLine" id="cb1-2" title="2"><span class="kw">library</span>(ggplot2)</a>
<a class="sourceLine" id="cb1-3" title="3"><span class="kw">library</span>(bayesplot)</a>
<a class="sourceLine" id="cb1-4" title="4"><span class="kw">theme_set</span>(bayesplot<span class="op">::</span><span class="kw">theme_default</span>())</a>
<a class="sourceLine" id="cb1-5" title="5"><span class="co"># options(mc.cores = 4) </span></a></code></pre></div>
<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb2-1" title="1"><span class="kw">library</span>(dplyr)</a>
<a class="sourceLine" id="cb2-2" title="2"><span class="kw">library</span>(tidyr)</a></code></pre></div>
<p>Inference about the population is one the main aims of statistical methodology. Multilevel regression and post-stratification (MRP) <span class="citation">(Little 1993; Lax and Phillips 2009; Park, Gelman, and Bafumi 2004)</span> has been shown to be an effective method of adjusting the sample to be more representative of the population for a set of key variables. Recent work has demonstrated the effectiveness of MRP when there are a number of suspected interactions between these variables <span class="citation">(Ghitza and Gelman 2013)</span>, replicated by <span class="citation">Lei, Gelman, and Ghitza (2017)</span>. While <span class="citation">Ghitza and Gelman (2013)</span> use approximate marginal maximum likelihood estimates; <span class="citation">Lei, Gelman, and Ghitza (2017)</span> implement a fully Bayesian approach through Stan.</p>
<p>The <strong>rstanarm</strong> package allows the user to conduct complicated regression analyses in Stan with the simplicity of standard formula notation in R. The purpose of this vignette is to demonstrate the utility of <strong>rstanarm</strong> when conducting MRP analyses. We will not delve into the details of conducting logistic regression with rstanarm as this is already covered in <a href="https://mc-stan.org/rstanarm/articles/">other vignettes</a>.</p>
<p>Most of the code for data manipulation and plotting is not shown in the text but is available in the R markdown <a href="https://github.com/stan-dev/rstanarm/blob/master/vignettes/mrp.Rmd">source code on GitHub</a>.</p>
<div id="the-data" class="section level1">
<h1>The Data</h1>
<p>Three data sets are simulated by the function <code>simulate_mrp_data()</code>, which is defined in the <a href="https://github.com/stan-dev/rstanarm/blob/master/vignettes/mrp.Rmd">source code</a> for this R markdown document (and printed in the appendix). The first, <code>sample</code>, contains <span class="math inline">\(n\)</span> observations from the individuals that form our sample (i.e., <span class="math inline">\(n\)</span> rows). For each individual we have their age (recorded as membership within a specific age bracket), ethnicity, income level (recorded as membership within a specific bracket), and gender. Participants were randomly sampled from a state.</p>
<p>MRP is often used for dichotomous fixed choice questions (e.g., McCain’s share of two party vote <span class="citation">(Ghitza and Gelman 2013)</span>; support for George W Bush, <span class="citation">(Park, Gelman, and Bafumi 2004)</span>; or support for the death penalty <span class="citation">(Shirley and Gelman 2015)</span>), so we will use a binary variable as the outcome in this vignette. However, MRP can also be used if there are more than two categories or if the outcome is continuous.</p>
<p>As this is a simple toy example, we will describe the proportion of the population who would choose to adopt a cat over a dog, given the opportunity. We will simulate data using a function that is included in the appendix of this document. The <code>simulate_mrp_data()</code> function simulates a sample from a much larger population. It returns a list including the sample, population poststratification matrix and the true population preference for cats.</p>
<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb3-1" title="1">mrp_sim &lt;-<span class="st"> </span><span class="kw">simulate_mrp_data</span>(<span class="dt">n=</span><span class="dv">1200</span>)</a>
<a class="sourceLine" id="cb3-2" title="2"><span class="kw">str</span>(mrp_sim)</a></code></pre></div>
<pre><code>List of 3
 $ sample   :'data.frame':  1200 obs. of  7 variables:
  ..$ cat_pref: num [1:1200] 1 1 1 1 0 0 1 1 1 1 ...
  ..$ male    : num [1:1200] 0 0 0 0 0 0 0 1 0 0 ...
  ..$ age     : num [1:1200] 5 6 3 6 1 5 7 6 5 7 ...
  ..$ eth     : num [1:1200] 3 1 2 1 1 1 3 3 2 3 ...
  ..$ income  : num [1:1200] 3 1 2 1 3 1 2 1 1 1 ...
  ..$ state   : num [1:1200] 19 45 21 47 12 38 2 20 11 34 ...
  ..$ id      : num [1:1200] 1 2 3 4 5 6 7 8 9 10 ...
 $ poststrat:'data.frame':  6300 obs. of  6 variables:
  ..$ male  : num [1:6300] 0 0 0 0 0 0 0 0 0 0 ...
  ..$ eth   : num [1:6300] 1 1 1 1 1 1 1 1 1 1 ...
  ..$ age   : num [1:6300] 1 1 1 1 1 1 1 1 1 1 ...
  ..$ income: num [1:6300] 1 1 1 1 1 1 1 1 1 1 ...
  ..$ state : num [1:6300] 1 2 3 4 5 6 7 8 9 10 ...
  ..$ N     : num [1:6300] 103741 104862 164704 133049 167578 ...
 $ true_popn:'data.frame':  6300 obs. of  6 variables:
  ..$ male    : num [1:6300] 0 0 0 0 0 0 0 0 0 0 ...
  ..$ eth     : num [1:6300] 1 1 1 1 1 1 1 1 1 1 ...
  ..$ age     : num [1:6300] 1 1 1 1 1 1 1 1 1 1 ...
  ..$ income  : num [1:6300] 1 1 1 1 1 1 1 1 1 1 ...
  ..$ state   : num [1:6300] 1 2 3 4 5 6 7 8 9 10 ...
  ..$ cat_pref: num [1:6300] 0.5 0.426 0.269 0.574 0.332 ...</code></pre>
<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb5-1" title="1">sample &lt;-<span class="st"> </span>mrp_sim[[<span class="st">&quot;sample&quot;</span>]]</a>
<a class="sourceLine" id="cb5-2" title="2"><span class="kw">rbind</span>(<span class="kw">head</span>(sample), <span class="kw">tail</span>(sample))</a></code></pre></div>
<pre><code>     cat_pref male age eth income state   id
1           1    0   5   3      3    19    1
2           1    0   6   1      1    45    2
3           1    0   3   2      2    21    3
4           1    0   6   1      1    47    4
5           0    0   1   1      3    12    5
6           0    0   5   1      1    38    6
1195        0    0   6   3      2    21 1195
1196        1    0   3   3      1    46 1196
1197        1    0   5   1      2    48 1197
1198        0    1   1   1      1    14 1198
1199        0    0   1   3      1    12 1199
1200        0    1   3   2      2    12 1200</code></pre>
<p>The variables describing the individual (age, ethnicity, income level and gender) will be used to match the sample to the population of interest. To do this we will need to form a post-stratification table, which contains the number of people in each possible combination of the post-stratification variables. We have 4 variables with 2 (male), 7 (age), 3 (ethnicity) and 3 (income) levels, so there are 2x7x3x3 different levels. Participants are also selected from a state (50), increasing the number of possible levels to <span class="math inline">\(6300\)</span>.</p>
<p>To make inference about the population, we will also need the proportion of individuals in each post stratification cell at the <em>population</em> level. We will use this information to update the estimate of our outcome variable from the sample so that is more representative of the population. This is particularly helpful if there is a belief that the sample has some bias (e.g., a greater proportion of females responded than males), and that the bias impacts the outcome variable (e.g., maybe women are more likely to pick a cat than men). For each possible combination of factors, the post-stratification table shows the proportion/number of the population in that cell (rather than the proportion/number in the sample in the cell).</p>
<p>Below we read in the poststrat data our simulated data list.</p>
<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb7-1" title="1">poststrat &lt;-<span class="st"> </span>mrp_sim[[<span class="st">&quot;poststrat&quot;</span>]]</a>
<a class="sourceLine" id="cb7-2" title="2"><span class="kw">rbind</span>(<span class="kw">head</span>(poststrat), <span class="kw">tail</span>(poststrat))</a></code></pre></div>
<pre><code>     male eth age income state      N
1       0   1   1      1     1 103741
2       0   1   1      1     2 104862
3       0   1   1      1     3 164704
4       0   1   1      1     4 133049
5       0   1   1      1     5 167578
6       0   1   1      1     6 109814
6295    1   3   7      3    45  10061
6296    1   3   7      3    46  13055
6297    1   3   7      3    47  12578
6298    1   3   7      3    48  13754
6299    1   3   7      3    49   9937
6300    1   3   7      3    50   9646</code></pre>
<p>One of the benefits of using a simulated data set for this example is that the actual population level probability of cat preference is known for each post-stratification cell. In real world data analysis, we don’t have this luxury, but we will use it later in this case study to check the predictions of the model. Details regarding the simulation of this data are available in the appendix.</p>
<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb9-1" title="1">true_popn &lt;-<span class="st"> </span>mrp_sim[[<span class="st">&quot;true_popn&quot;</span>]]</a>
<a class="sourceLine" id="cb9-2" title="2"><span class="kw">rbind</span>(<span class="kw">head</span>(true_popn), <span class="kw">tail</span>(true_popn))</a></code></pre></div>
<pre><code>     male eth age income state  cat_pref
1       0   1   1      1     1 0.5000000
2       0   1   1      1     2 0.4255575
3       0   1   1      1     3 0.2689414
4       0   1   1      1     4 0.5744425
5       0   1   1      1     5 0.3318122
6       0   1   1      1     6 0.6224593
6295    1   3   7      3    45 0.7502601
6296    1   3   7      3    46 0.8581489
6297    1   3   7      3    47 0.9241418
6298    1   3   7      3    48 0.6456563
6299    1   3   7      3    49 0.4255575
6300    1   3   7      3    50 0.9308616</code></pre>
</div>
<div id="exploring-graphically" class="section level1">
<h1>Exploring Graphically</h1>
<p>Before we begin with the MRP analysis, we first explore the data set with some basic visualizations.</p>
<div id="comparing-sample-to-population" class="section level2">
<h2>Comparing sample to population</h2>
<p>The aim of this analysis is to obtain a <em>population</em> estimation of cat preference given our sample of <span class="math inline">\(4626\)</span>. We can see in the following plot the difference in proportions between the sample and the population. Horizontal panels represent each variable. Bars represent the proportion of the sample (solid) and population (dashed) in each category (represented by colour and the x-axis). For ease of viewing, we ordered the states in terms of the proportion of the sample in that state that was observed. We will continue this formatting choice thoughout this vignette.</p>
<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb11-1" title="1">sample<span class="op">$</span>state &lt;-<span class="st"> </span><span class="kw">factor</span>(sample<span class="op">$</span>state, <span class="dt">levels=</span><span class="dv">1</span><span class="op">:</span><span class="dv">50</span>)</a>
<a class="sourceLine" id="cb11-2" title="2">sample<span class="op">$</span>state &lt;-<span class="st"> </span><span class="kw">with</span>(sample, <span class="kw">factor</span>(state, <span class="dt">levels=</span><span class="kw">order</span>(<span class="kw">table</span>(state))))</a>
<a class="sourceLine" id="cb11-3" title="3">true_popn<span class="op">$</span>state &lt;-<span class="st"> </span><span class="kw">factor</span>(true_popn<span class="op">$</span>state,<span class="dt">levels =</span> <span class="kw">levels</span>(sample<span class="op">$</span>state))</a>
<a class="sourceLine" id="cb11-4" title="4">poststrat<span class="op">$</span>state &lt;-<span class="st"> </span><span class="kw">factor</span>(poststrat<span class="op">$</span>state,<span class="dt">levels =</span> <span class="kw">levels</span>(sample<span class="op">$</span>state))</a></code></pre></div>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABBoAAAKICAMAAADpfGkfAAADAFBMVEUAAAABAQECAgIDAwMEBAQFBQUGBgYHBwcICAgJCQkKCgoLCwsMDAwNDQ0ODg4PDw8QEBARERESEhITExMUFBQVFRUWFhYXFxcYGBgZGRkaGhobGxscHBwdHR0eHh4fHx8gICAhISEiIiIjIyMkJCQlJSUmJiYnJycoKCgpKSkqKiorKyssLCwtLS0uLi4vLy8wMDAxMTEyMjIzMzM0NDQ1NTU2NjY3Nzc4ODg5OTk6Ojo7Ozs8PDw9PT0+Pj4/Pz9AQEBBQUFCQkJDQ0NERERFRUVGRkZHR0dISEhJSUlKSkpLS0tMTExNTU1OTk5PT09QUFBRUVFSUlJTU1NUVFRVVVVWVlZXV1dYWFhZWVlaWlpbW1tcXFxdXV1eXl5fX19gYGBhYWFiYmJjY2NkZGRlZWVmZmZnZ2doaGhpaWlqampra2tsbGxtbW1ubm5vb29wcHBxcXFycnJzc3N0dHR1dXV2dnZ3d3d4eHh5eXl6enp7e3t8fHx9fX1+fn5/f3+AgICBgYGCgoKDg4OEhISFhYWGhoaHh4eIiIiJiYmKioqLi4uMjIyNjY2Ojo6Pj4+QkJCRkZGSkpKTk5OUlJSVlZWWlpaXl5eYmJiZmZmampqbm5ucnJydnZ2enp6fn5+goKChoaGioqKjo6OkpKSlpaWmpqanp6eoqKipqamqqqqrq6usrKytra2urq6vr6+wsLCxsbGysrKzs7O0tLS1tbW2tra3t7e4uLi5ubm6urq7u7u8vLy9vb2+vr6/v7/AwMDBwcHCwsLDw8PExMTFxcXGxsbHx8fIyMjJycnKysrLy8vMzMzNzc3Ozs7Pz8/Q0NDR0dHS0tLT09PU1NTV1dXW1tbX19fY2NjZ2dna2trb29vc3Nzd3d3e3t7f39/g4ODh4eHi4uLj4+Pk5OTl5eXm5ubn5+fo6Ojp6enq6urr6+vs7Ozt7e3u7u7v7+/w8PDx8fHy8vLz8/P09PT19fX29vb39/f4+Pj5+fn6+vr7+/v8/Pz9/f3+/v7////isF19AAAACXBIWXMAABcRAAAXEQHKJvM/AAAgAElEQVR4nOydB5jUxPvHv1foVWy4gCAgNsSCXZG/ve4BHk1AitIElKaCgCAioIKAUi00fyoIqDQRBUWxAkoHBQSUDkvvx3E3/51kS8pM2h63ad/nudtk3pnJJJt8NsnMvC+IL1++fKmEZDfAly9fdpSPBl++fDHko8GXL18M+Wjw5csXQz4afPnyxZCPBl++fDHko8GXL18M+Wjw5csXQz4afPnyxZCPBl++fDGUMBo2vOp4TU/0GExN9h4krk0JHoKcZO9A4noj0dNgVbL3IHHNluxOwmj44b43Ha5WLyV6DF54Jtn7kKju/SnBQ5Bds3+y9yFBvVw70dNgzqPJ3odE1WyAZHcSR0OjkMM1OnE0jEv2PiSq+omjYWOy9yFBLaud6Gkw55lk70OiGuKjQSYfDT4aQj4aqHw0yOWjwUdDyEcDlY8GuXw0+GgI+Wig8tEgl48GHw0hHw1UPhrk8tHgoyHko4HKR4NcPhp8NIR8NFD5aJDLR4OPhpCPBiofDXL5aPDREPLRQOWjQS4fDT4aQj4aqOyPhlGBwPC8r5WnpKJhRSCm96NpLwd+Y+Z9LDBWYzUh2QANVwf25MmuWJW90PB2IPbt/ndZ4E65sXNgRd5tSSr7o+HhQOCBvK+VpySjoVqDiGaFQgsCg0Pm0CCWSFg+GuyHhozI4uSAj4aolgfuuimwLM+r5SnJaJBCUBsNK3/brFr10ZBXshsaLi+/XlxsWqW8j4aIXgsM7hXon+fV8uQYNLDkoyGvZDc0tAuMEJa2VnzmUh8NEd1SbvWPgVvE5S1dal3daM5I8WIZV/fKGk2/y+vN2QcNDegrh1kUDZMyqt30wtYQxcS28XdXuulFcZkehR29769yx0ubxFWxxDuBd2nxdeUftdoMu6BBurvxPQ3tevWhy+94ZjlNfCXw39sPVcuYEpoSPkR9d9OkvDkt7IaGsdc/LCxNCEwT0LDy+VsrVX/8I5oUQUPeXw52R8NC+pR1S+B7urz2lsD/tbilwoP0otj3VOD65hmXXjopj7dnHzTMeCnQeOTq8PXRrmqLztcHmofotfL6fRNntgk0C0XQsKl24O6n7w7cvV1YFUusK1eHFh8WGGO1GfZBQ3x343u69e7AzS0eKV91doiioUOrLz+4psLztSZ98Wjg7bw7LeyGhvdfCqyiS42q7aJo+PuGwEOtH7g08EEogoZzcTnYHQ1d6bv6voHudLk97arY0ylAL4rxgbY7Q6Ffrq66Pm+3l+zXkI0j2hp/oLhqSSi0uUaFHXT5rvBO77u3/H8RNHQXsvQIDBVXxRKPVKC/rfdX/MdqM+yDhvjuxve0d+D58O3BrEtv203RQLExNnB1eI//CtTNu9PCdmj4PvBmeGFLxfYhiobhwtrScuE9FtFwLi4Hm6Nh99WVwhfJr4Hq4fNgY3nhN/XfavQquOuK7XRlVGBU3m7QLp2Xm+JoEN4fPBNYR5eFXolO9GSgLPjv0jv3hdc31+4uRcNwStM/hIvGmuyDhtjuxvd0X+Vrd4ipMygapofobj8rlKmdd6eF7dAQuvme8MKHgS8FNMwbuSW8trtaeI9FNJyLy8HmaJgeaEk/7gzMDIXmB14R0jLDV8HuCrePpeod6Jy3G7TPA0UMDfPoSicRDQvocucoGhYHukYzS9CwplzDUGhAYIrlZtgHDbHdje/pauHRKhT6mD4/vBL4Ibz4faAvTalRO+9OC/uh4ZXA0vA3c9XuUOQ15O7fxjcLRNFwTi4Hm6OhefRXtC19BSO+pW0fvgriv69t8naDNkTDr3QlggbhBWwMDVPiPRISNIQerrg1dPsVuyw3wz5oiO1ufE8Xig+XoW/p5yuBH0MUDf1oShgNeXZa2A8NvwQGhDZd2ikkoGHbK/dUDFzfrHIUDefkcrA3GrZWvLQ91dOBqttDc8Qfh1DD8BmzvVz9vN1SVDZEg3B9MNGwMPBiNLMUDW8HPloceM5yK+yIhvierorcNXxKH7eVaMiz08J+aAjdeUdoXGCuiIYnA43Hrxf2WDw85+RysDca3gs0FRfuDnwUWhd4iC7uuIaeMTWv2UlXFr/5e95u0VFo2BS4l67vvrOBDA3hq6dn4BvLrbAjGuJ7uveyGsI3/3xgmhoNeXZa2BANAwI/P1F9j4CGTeKVsK1i7F3Dubgc7I2GjOgT8xuBcM1PBUaHQvteFHoo3g50pm8m76q4IW+3aCs00DNeCw2h1sL0kuGB3lE0CNdI6MHK1920z3Ir7IgG2Z5230t7KG7ZxUBDXp0WNkTD0sCzFegLlzAa/itfO3wI9nQRxvsIh+dcXA62RsPqclfuii5duim04rrAA21q1Xg2sCb8+/F44JZnmlcTenbzUnbpvOwdCj9d3vjSEm00rL0pcG+7xwK3bBVXxRLhLzUQefayJjuiIb6nW2sHbm/9ePkqs0IMNOTVaWFDNITuCQTmh8QHiqcCtZ7vdNPd9wYa/S0ennNxOdgaDYMDXaKLQdots6H9zde1XvVqOTrsbc+QR6td1yiB22a27NJ5+VgotPfZKtXma6MhtLV77cp3vrQ5siqWCIVWBgJLEjgGdkRDfE9DO/s+WPX2pyOjIRVoCOXRaWFHNLwZuC58ryCgYWuPm6s8+OrOZU89/lfk8JyDy8HWaFBo1d/Cx1PXnsNtOMFfw64/dmpn2HJpQnNVbYAGqXR3N6Ktf+TdNu2FhuTISWi49So6zO+78i/q5rQuJ6BBVyMj3bwWZTM0JEM+GpyFho/KXdduQNtLL199DrfhAjRsXXFDpYTeRvlo8NEQchYaQnPq17is1jPGJylbkAvQcEMg8GpCFfho8NEQchga8kEuQMOg5mMT6LkM+WgI+Wig8tEglwvQkLB8NPhoCPloUMpHg4+GkI8GKh8Ncvlo8NEQ8tFA5aNBLh8NPhpCPhqofDTI5aPBR0PIRwNVHqPhodEOV7vE0fBssvchUd2fOBqGJHsfEtTrtRM9DeY8nux9SFSt8hQNP3d0vEYlegzeTfYeJK7fEjwE2cnegcTVLdHT4Jtk70Hi+lCyO4nfNdzZTKqmjRs346lx46Z5a3pSy9TEqOmR3okeg56P8LYVk9ZxObeFmzR+Uj/THYnfNeg30VBLeNL4QvOmcIP/S/Q0mFPLfMsS+mq1ZOl4PfiGZHcSR0NT2Wp2KJTLyZkTCp3l1RIKZfNM+0NZPNPB0Gme6VDoJM90JHRCtj4pcTT8TzdL+LhYrz8rtN964VOhg/qZGieOBv0mHgsdtb6Bo6Hj1gsfVnzlLG1KHA3tzZfJCh1IdLNsHbFyvEb5aJCt+2jw0UB8NFD5aPDRoJSPBh8NxEeDjwa1fDTI0XAqGFWn8Fo3cbE5tRz7deEuMc+oFxU1+GiQy0eDjwbiOjRkdRbVIdgzvNakgbDSJ7y4ulkwWGcqzbKt7l+KGnw0yOWjwUcDcR0aoprwxFZCjgffjK4fb9Zzx9GJweXhxQGDlZl9NMjlo8FHA3ErGv7K+JJagrHvd0lwR/h/2zGErKm7Q5nbR4NcPhp8NBCXoiGr3cv0ZF4c/C6asiS4M/y//SiS222cKruPBrl8NPhoIC5Fw/TgJvrxWXBqr8at+q8PLx5r2nPnsYnBP8jihodV2X00yOWjwUcDcScajjcWXyeMCAbbDuqWkTE3vLyySTCY8QnJbvOZNOeJgVT92xwzrSOh/eYLGdGB0EHzhYYNlOyUjwYfDcRHA2GhYXLGNuGzZ8YX4f+rMzP30Hb8NH87IbNayM68QzWpWvkzL2Xy0eCjgbgSDaca9pOtTw7Oji6eaLKAkHmdGvXaGFn37xoY8tHgo4G4Eg3fBH+UrS8LjowuTuqYQ6YGX5/coe4WSQb/XYNcrkODdOgb+fq5zKeGi1+exjA4Hw1uREO3RuKJd/boKeFzRXB8xBLKXEay6o2nXRjSa8lHg1yuQ4Nk6BsZH2zYv32wJb22tIbB+WhwIRr+C74tLhysI/4UTI31YQ7vFT4LgivDS6M6SEr4aJDLcWhY9+6LE/ZIE+RokAx9I3syWh2kfBivMwxOHw0nP+/9+o96mbhyBxq2vvfi6K2WN5DvaPgiOD+y1Dc4L/x/Q8NWkVNqS51N4e+k3gRCzrQfJClhAQ1Hpr785hLTpQzV7KOBIx4aslqmACj5riRJjgbJ0DfysfA7kdOk2VntYXC6aFh0SXijuO9fnWw8uQENub3TwoegYK8cixvIdzS8EvwvsrSnSbDL0J51GiyPrPcdSv9PCQ7+pFO9zZIS5tEw8zx6XtTdZ7acAflo4Jl4aHgWoibGk+RokAx9I89lHKEfw4JrtIfB6aFhYzFxo1dxm6stN6BhaOTA97G4gfxGQ1Zm49iJvPfdNpkdhu+NrK2oJyzlftUh1kMhyjQalhQQj8mdVnmpIR8NPBMHDTtSI2dohXgr5WiQDH0jTcV3kdODP2oPg9NDQ2uogWRGLkBDVunIISh8xNoG3OivIRg9L+Ylumm1fDTwTBw0TIt+GYj3OsnRIBn6djZDfMk0PziLNwzuuwyqVu8f1FTV6Eabaufj6UAoZK0g1X4jhRss4h1Ig9JDw5+xA7/A2gbciIYoLtEz0U2r5aOBZ+KgYULsDF0VS5OjQTL07XCwu5C0OPgR4QyDmyMMg2uuE4fikuhGM/JnUJt51V/EO5AGpYeGH2MH/gtrG3AjGgpEj0mnRDetlo8GnomDhh+iX0Z6/LGAOeSJDn07m9FRWJ4fjJ3OymFw/31O9dzEU5q6M7rVF7Tz8XQsFLJWkOpo6IB+pkaLeQfSoPTQsC2GhtXWNuBGNFSLHpPhiW5aLR8NPBMHDWcqRr6MuvE0JhqEoW9NWgjLM4I/xPIyh8HpvWsYG9lo6krtfDy54F0DqRU5BjV4p4eO3IiGV6PvX/7Tz2tWPhp4Jl4PxaLCwpdRbls8SYYG2dC3TnWEM+qdYPSXjjMMTg8N2Q+Lp8Cr2tm4cgMa1p8vHIISf1rcgBvRcOJW4ZikjEl0ywz5aOCZuEOeVhQCyrfeLUmRoUE29O1/QXrF5DZvciZi5QyD0x3XcOaNK1PTqk7TycWVG9BA/m1WFii1weoG3IgGcrJP1VSUmK+f0bx8NPBMXDT8ASzRGigtHfq2O6ND+P/nsbHzvGFwRgZK79yrm4crV6CBkGNzkbLL6gZciYbwVzsFBU4lumGWfDTwTFw0DMTVmnMoZEPf3g+2Ht1HGC0tiDcMzp9DYQwNe86D/pHiyK1o2JyCczJS2kcDz8RFw914Tnt6lXToW+5XnTI7jYlOgOEOg/PRYHB6VR00t7oBt6IhVBmjE90wSz4aeCYeGo4WwMwk+Ws4q396cuQaNIxAWYsdFO5FQyZaJbphlnw08Ew8NMxE4T3JQUOjQgN0c3HkGjSsBdZa3IBr0fA6qie6YZZ8NPBMPDR0wENJ8vLUDE11c3HkGjQcrWx5dI9r0TAXaQnsGVc+GngmHhqqYFiS0PAabrRav3vQ0A6PWtyAa9GwIx2JHnyWfDTwTBw0bAHWJQkNU1DU6txb96BhBopZnJjuWjQcqI5hiW6ZIR8NPBMHDaNRLlluY9f1+pi7jzpyDxoOpeEH3XxMuRcNLdEk0S0z5KOBZ+KgoQ6e9j1KM5RvviFvgcWj7V40jMLliW6ZIR8NPBMbDdml8JmPBobyDQ29cYu1DbgXDUuQcijRTavlo4FnYqPhR6Tt99HAUL6h4QekWXOh7F40nC6IhYluWi0fDTwTGw29cGvyQtSc/edni/W7CA1ZxTHD0gbciwZyI1Q+yhOXjwaeiY2Gm9A3eWj4DBdZrD8xNKzdrZ8p/+JQPAoLFxBxNRraITPRTavlo4FnYqIhlIqfk4eG1YDFKzwBNOxrWQrpNy/Sy5Z/aBiGKpY24GI0fICKiW5aLR8NPBMTDZ+i5JnkoeF0Giw+UVhHw97KohMZPWch+YeGNcBm3ZwMuRgNK4AEZuxz5KOBZ2KioQWeIEkMh1sFH1ir3zoa2kVcjBXReajIx8B25fCelQ24GA3ZRfBVottWyUcDz8RCQ25AOCuThobvllk8u62joUzUMen72vnyEQ1Pob6VDbgYDeR29E902yr5aOCZWGhYJUaf8FDn5bGYH2edfcxHNHyE87ingYbcjIbnEUx02yr5aOCZWGgYgmr0w0NoyIlFOhiinTEf0bA7BUstbMDNaPgIZRPdtko+GngmFhrux3P0w0NoIA9E0aDjyDkf0UCqY6CFDbgZDeuB7YluXCkfDTwTAw0ni2Au/UweGr4aYi1WtnU0/Ba5bWikky8/0dAVVi5CN6Mhp6TVmF58+WjgmRhomIeCx+hn8tBQFlMs1Z/AuIa5F9NAB0/pXRn5iYbo92BObkYD+T/0SnTjSvlo4JkYaOiCe4XP5KHhHjoY04ISGQ35DzD4H91c+YmGE4WsRIZ2NRpewIOJblwpHw08EwMNV0Hc8eShoQMaWKo/ETR8j4L79HPlJxrCv5HdzG/A1WiYijJW3eny5KOBZ1KjYTuwQlhIHhpG4n5L9SeChrGoZqfpVVQDca35DbgaDZsB/Ts7c/LRwDOp0fABLhZbljw0HD1qrf5E0NANj9gNDUusBLFyNRpyz8fURLeukI8GnkmNhvp4SlzwUuclIY+jk93QcLaMhSBWrkYDeRAvJLp1hXw08EwqNMTPR2+hoRqG2w0NJNNCECt3o6E3aie6dYV8NPBMKjT8FruL9RQazhTAbNuhYZyFIFbuRsOXKG7V3ThHPhp4JhUaXsUNkaUkouHr1oN0czKUABr+BtbZDg1bLQSxcjcadgDrE928XD4aeCYVGm5Hz8hSEtEwGLdZqT8BNMxGCVs5gBNlIYiVu9FALsHkRDcvl48GnkmJhkPpWBRZTCIaZqK0lfoTQMNQ3GhDNFgIYuVyNATF+T15Jx8NPJMSDdPjYZOSiIbw7b35bruE0NAOjW2IBgtBrFyOhv7W7if58tHAMynR0AaPRxeTiIbsy+7faKH+BNDwf+hjAQ3dgoLEfoSvn8t8arh4Ah/7dWEEbaNelFdgDg0Wgli5HA3zUPhMotuXyUcDz6REw2UYGV30VA9FAJMtoKFJg85Ufejy+GDD/u2DLWklq5sFg3WEsTnb6v4lr8AcGiwEsXI5GkLRsbp5JR8NPJMCDX8BsZ9rL6HheAp+NY+G48E3Y8t7MlodpHwYH05u1nPH0YnB5eHUAcrICQbQsG74s0PWRZbNB7FyORpIRT0ffSblo4FnUqBhBCrFlr2Ehj+BvebRsCkY36GPg9+F/+c0aXaWLAnuCC+2HUPImro7FBXooiGncwqA9OfF79l8ECu3o6E+2ia6fZl8NPBMCjQ8inaxZS+hYQoCFqJXLRZwIOq5jCP0Y1hwTRgNO8NL7UeR3G7jlBXoomFAxN2UOCA4qzg+12+VVG5Hwxu4MdHty+SjgWeSoyF8Jsbd6CQTDdvuuuCI+fqto6E//s8CGj4LTu3VuFV/YRBOU/Fd5PTgj+RY0547j00M/kEWNzysrEAPDadLRNBQUAz9ajqIldvRsBAFmLHdrcpHA88kR8NCpMdP5mSi4bgln6nW0dAUbS2gYUQw2HZQt4yMuYSczeggJM0PziJkZZNgMOMTkt3mM2nuvhlh1a25+aCWvov5tv5cWB+IyzTzq7Q/dMBcAalCof26ef6sbfEYx5QQGg6n4vdEGyCVjwaeSY6GF3FXfCWpDxSXWhn1Zh0NN2OIBTT0zKD3WKszM/eQw8HuQtLi4Efh/0d/mr+dkFktZIe9Y82wbq25MaSl2TE0TBbWFwN/aBbIdy2rbfEYx5QQGkg1jEq0AVL5aOCZ5Gi4Dq/FV5KKhgdj47VNyDoaSmO29UjZk4Ozw3cNHYXl+cHYE9mJJgsImdepUa9In8+fC8L6tuau01ramhJFw3IxIYDRmgWUOhw6Yiq/TAcNFF6X3AcK0gQtE22AVD4aeCYZGnanYEl8LaloGNPxa/P1W0bDHuBv62hYFhwZPmNbCMszgrExSpM65pCpwdcnd6i7JZ5X9zXkfREy1Iysmw1i5fZ3DWQ4rkm0AVL5aOCZZGiYLAuY5KEeisVIzzKPhrNHTwmfK+hghk51hKP1TnB1xBrKXEay6oUtWe0kJ5IuGv65RCDDeWsi62aDWLkeDT8h1aITMKZ8NPBMMjQ0kcVh8BAaPsTlxDwaDtYRR0FPpX2Y/wtSU27zJtFxvMN7EbItuDK8NKpDvIz+kKfdz1ZJL/F4LBCH2SBWrkfDiXT8mGgLJPLRwDNJ0ZBzESZITB5Cw0t4zAIaSN8g9Qa/oWGr8DHcndEh/P9zegMhaEudTeEG1Qsf0DPtJc4nTA6UJqaDWLkeDeRavJ1oCyTy0cAzSdHwB7BNYkoyGixc5pbRUBddraBhT5Ngl6E96zSgQ6LJ+8HWo/sIo6UF9R1K/08JDv6kU73N8SLm0WAyiJX70dAKTybaAol8NPBMUjQMkr/gSS4aHsUA0/VbRsPVGGsFDWTvu20yOwzfKyznftUps9OY6Am8ot5eMbFDrIdCkHk0mAxi5X40jEbVRFsgkY8GnkmKhtrykCjJRUNrNNXOyZBVNOQUxneW0GBeBtFw4oOHTkXWTAaxcj8aliLF5LwSLflo4JkkaDheCN9ITclFw1ALY+WtomEzjcBsKzQcKopPo6vmgli5Hw1ZhbAg0SbE5aOBZ5KgYRYKy0anJxcNX6Goad/BVtEwD8Vy7YUG0hT3RVfNBbFyPxpITVhyKsyWjwaeSYKGjnhIZkouGvaMWmiqP5/KKhpG4HpiMzR8j5RNkVVzQaw8gIb2eCLRJsTlo4FnkqChqqJTyDudlx3R0G5oyL2hzdbIqrkgVh5Aw4e4NNEmxOWjgWeKo2GLMuiBd9DwAF6xGxqI5OwwFcTKA2hYBexOtA0x+WjgmeJoGINy8hZ5Bw2X4iPboUEiU0GsPICGs8UwN9E2xOSjgWeKo6EOnpabkoyGoz/NNlu/RTScFFwA2BcNpoJYeQAN5A68mmgbYvLRwDPF0JBdShmfPMlomIYLzdZvEQ3hG9QDNkTD4XHR22YzQay8gIbOeCzRNsTko4FniqFhMVL3yU1JRsMawOyzhUU0TBcgZDs0VEXUHbWZIFZeQMP/zP9qcOWjgWeKoUHt1jzJaMhKh9nr0CIaBgq+rWyHhpdROXKKmAli5QU0/CWf7JOQfDTwTDE03ETf0suU7NeQl+MDk/VbRENL4S2L7dCwOSUaftRMECsvoCG3tFk/23z5aOCZomgIpap+o5ONhpXbzdZvEQ23C3futkMDuaf0pEiKiSBWXkADuQcvJ9qIqHw08ExRNHyKkspYgslGg3lZRMP5wm+Q/dCwJTYazUQQK0+g4UU8kGgjovLRwDNF0dAS9ZQmr6DhgNg3aD80xGUiiJUn0PAZzjM+0kNbPhp4pigaykMVaMkraPgVqXQCtJ3RYCKIlSfQsAXYxM1qTj4aeKYIGlYDm5WmZKMh98MXNmplVcsaGibhMvphSzQcjEysMh7EyhNoIBdiSqKtiMhHA88UQcMQVFOZko0GckncZ4ExWUNDL3HGqR3R8FrhSAjSYahicAPeQMND6J5oKyLy0cAzRdDwADqpTElHwz3oa65+a2ioj+fohx3RMA4lxRN3DeOuji1voKEP7k60FRH5aOCZRDScLII5KlPS0dABDczVbw0NNfAu/bAjGo4Vx0RhIfcSvGdsA95Aw0wUN+3Ngy0fDTyTiIavWa5Jk46GkSWbmKvfEhpyi4p+7+yIBtIqOkTacBArb6BhF7Au0WaI8tHAM4lo6IJ71Kako0E50EJXltDwH7CVftoSDas+jXiPNRzEyhtoIAFM4uQ0qbxGw9nPuzdu2U8MYdYtKEjwtnHs14WRV8qjXlTUZms0XB2bySNR0tFgWpbQsACFhMNtSzTEZDiIlUfQkMF4OWZJeYyG3F7BFoP71AtOpytNGnSm6hNeXN0sGKwjTG3eVvcvRW12RsN2YLna5BE0jEJ14dPeaDAcxMojaHgNtybaDFF5jIbvgr3C93n/Nqm7lZDjwTejyceb9dxxdGKQXmUDVL/CdkbDh7iQ4b3ZI2joHHFCals0iOeJ0SBWHkHD1yhs+nmTqTxGw4CgMBbry+Dn4SMVjJ3vS4I7wv/bjiFkTd0dytrsjIYGaMYwJR8NUx/taap+S2h4BOJGbIqGFY3rCJ9Gg1h5BA0h5o2uBeUxGtplCpf1kuBoQhbTMMmilgR3hv+3H0Vyu6lGHdsZDRyXxclHw2DcZqp+S2ioEokBbFM0zEeqEDXbaBArj6CBVDLam6ujPEbDZjHE+Qf0ruGz4NRejVv1Xx9eP9a0585jE4N/kMUND6tqszEafmMHOkg+GmaitKn6raAhKx0/Cws2RUNOxYgjRINBrLyChgZok2g7BJ2TzstVDTPDJ9OIYLDtoG4ZGdTH7comwWDGJyS7zWfSfNk1qZ5qFLKreqC6kWyjXzJ/DOUyi4a/ARPBWayhYR0gOr6zKRrIq6gg/FK8biyIlVfQ8CZuSLQdgs4BGs7OrpfxY/izZ8YX4f+rMzP3EOoFef52Qma1kP1I2x4NN+N5I9nyHw3Ztz31n5n6raDhS5wnLtgVDdseniagwWAQK6+g4TsUOMnOak55j4bVHYKtVkjWJwdjrtFPNFlAyLxOseDpueupZjTJlup0KHQmm62sUOg0x5StYdofOskzHQid4JkOho6H0rGAZTocOiZbn9DL/DGUy449FG9Ge8HsioaoDAax8goaDqfit0QbQpXXaDjzfkaD6Dg1UcuCI6OLkzrmkKnB1yd3qLtFksG+7xp4TkmT/67BrKygoXU0NJTd0WAwiJVX0ECuwEhmTpPK6yFPg4LdI2fw2aMiIVYEx0eMocxlJKteeC2rnbQC+6KhLR5nmryBhloYIC7YHg3Gglh5Bg3N0CLRhlDlMRpmBYdFr9CDdcQR0VNjfZjDw5KfGM0AACAASURBVPfd24IraQUdJGXsi4bLxJmHKtkCDYadrFNZQcPFiLwzti8acuYJs8aNBbHyDBpG4OpEG0KVt2jIbdMofsb2DdLu5g0NW0Veimypsym8I/UmhJ862g+SFLItGlYCG5gmG6Bhc5U0dTcwXxbQcBiIvDKyLxr+ThH7Vw0FsfIMGn5G6pFEW0LyGg0HgvW7ippLyJ4mwS5De9ZpEB2b1Xco/T8lOPiTTvWk3jdsi4ahqMQ22QANJ1KxxET9FtCwFCmRQYb2RUP4oacV/TAUxMozaDiRbjw4h4byFg3rg1FNDq/tfbdNZofheyO2FfWEpdyvOsR6KETZFg0PoR3bZAM0kIqm5t5aQMPHqBBZsjEaJqHIIWIwiJVn0EBqYGiiLSG+vwYNNOzkOiu2AxoeQg8T9VtAQz/cF1myMRpOlHmMdnYZCmLlHTQ8jcaJtoT4aNBAwxdI41wSdkDDxwN/NVG/BTQ0xrORJRujgUSeeYwEsfIOGsYYdqWrJR8NnE193fNa3MQpZQc0mJMFNNyIYZElO6Mhot4GnBR4Bw3LkGIpWJlcPhrYRe5CWAXeYpfyBBpK4KvIkgPQYCSIlXfQkFUI3ybaFB8NHDQ8AFHsK9YLaNgZD4NkbzRkzz5lLIiVd9BAbjLo+EpTPhpYyUsjZMCVzFK2QMPpVSbiZZtHwyIUjB5QW6Mhuwo+IdTtjO5V5SE0PKuO02pePhpYySOjaMAhltkWaKiF14zXbx4N78WxaGs0kKa4lxgKYuUhNIyPdTwnIB8NrOQhMTQwZ/vaAg1t0JSTkyHzaOiOjOiivdHwPVI2GQpi5SE0rDbpzoMpHw2s5NlRMpRhOI21CRrexo3G6zePhiBeiC7aGw25l6dPNhTEykNoOFuMEXPNrHw0sJJPlougoQuzlC3Q8BWKMrnFlHk0XIH3o4v2RgP5bTf9rx/EykNoIHeiX6Jt8dHA7qFYVFQgw83svjJboOHAjPUGZiJHZBoN2QXi4wttjgZR+kGsvISGLkYmlejIRwPb8Pc1KHDzoFNsoy3QYEqm0bBR8rTqCDToB7FyABpmt+P5HOPrZOiAOnEyLjRfk0KHQ0fNF3pXGmbGnWggD6AL18OeB9AwByVi34L90XDmhIEgVg5Aw5etD5rWgVBInbgUWG2+Krn2h/abLzT0dcnuuBQNZfGel9HwNmrGlm2PhrfKDjQQxMoBaMizB4rc0piRaGP8BwpOdcBim6Nh97QJhus3jYb2eDK2bHs09EblXP0gVl5CA7kX5sKbMeSjgW1YhAI7bY6GabjQcP2m0XCv5BW37dGwJRXf6wex8hQaXsL9iTbGRwPb8C6uCtkcDWsAw48YptFQThh+LMr2aCD30eFfekGsPIWGaShlvP+KLR8NbENbZNodDVnpMHw5mkXD8RQsi63YHw1fD9mrH8TKU2jYCmxkJJuRjwa24Xa8Ync0kMvTpxit3ywalgNxr7T2R4MgvSBWnkIDuRCfJtgYHw3M9NxS+NT2aNjG3S2VzKJhKsrGVxyCBr0gVt5Cw8PGYgRryEcDM/1fYKXt0WBCZtHwGmrHVxyCBr0gVt5CwyuolWBjfDQw0+eg+EEvo+EpaSB2J6BhY7eeekGsvIWGWSjKvSCMyUcDM30wbj3kZTTcAonvOyeg4X0UP6YTxMpbaNgNrEmsMT4amOlN0dr+aMgd8ORfBus3i4bzMDO+4gQ0HCuBCTpBrLyFBlIOExNrjI8GZnoNjLA/Gsglht9Cm0TDXkACHSeggTyDO3WCWHkMDXXQMbHG+GhgJWcXwkIHoOFevGKwfpNo+AlpkkPmCDT8Vn1ErnYQK4+hYQBuSawxPhpYyeuAvQ5AQwdd9yVRmUTDeFSVrDkCDVTaQaw8hob5KGS8c5slHw2s5Km4gDgADWMvf95g/SbR0EN2Z+4YNGgHsfIYGg6k4M+EGuOjgZXcB/c6AQ3GZRIN9WSe75yDBs0gVh5DA7kM4xJqjI8GVnIddPY0Gq7BaMmaU9CwapRmECuvoaEhWifUGB8NrOQq+MDLaMgpjIWSVYeg4RekbtQKYuU1NLyF6xNqjI8GRurxVPzuZTRsAbZJVh2Chtwq6KcVxMpraFiEdO4ZbEQ+GhipS5By1BFoGHdjB2P1m0PDfBSR+rF3CBrIayg/VCOIldfQcDQVvybSGB8NjNTxuIw4Ag1vGIgdL8gcGt7BddJVp6Bhe9p1CzSCWHkNDeRKvJtIY3w0MFK70qBuTkDDTJQ05svHHBo6oYF01SloIBs1g1h5Dg1P4alEGuOjgZF6P3o5Aw0bgJ2G6jeHhgflwwMcgwaiGcTKc2h4B1cl0hgfDYzUsnRughPQkF33JWNhT82hoRImS1edhAaNIFaeQ8MvSD2SQGN8NDCqEuazOgENhmUKDafS8Jts3UFo+I4fxMpzaDhZAIsSaIyPBnXi9yiQ5WU0rAZkZ5tz0HD8RlTmBrHyHBrIdRiSQGN8NKgT30V14mU0zMAFsnXnoIHUwjXcIFbeQ8MzaJRAY3w0qBPbCpGbnIGG3G2MRLVMoWEQ7pCtOwgNk1AQBTlntPfQMBaVE2iMjwZ14u3CPakj0LC+mMQpvIZMoaEVWsnWHYSGE6VQAF+zbd5Dwx9IMRmZSCofDaq03JKYRRyChhOpWGKkflNouBODZOsOQgP5bCU3iJX30JBVCN9Yb4yPBlXaVmALcQgaSEVMMlK/KTRcoIiy7CQ0aASx8h4ayM14nWvTlY8GVdocFKcNcAYaHjIWEdkMGg4Cq2UJzkIDN4iVB9HQAXWtN8ZHgyptEG6jH85Aw+zxhpxKm0HDb0iV77mz0MANYuVBNExAeeuN8dGgSmsiusBwBhoMygwaJqOSPMFZaBhXihPEyoNoWAMYGy3Lko8GVVoNjKAfnkVDHzwoT3AWGp4CJ4iVB9FwthhmW26MjwZlUnYhfEc/PYuGBugkT3AWGn4AJ4iVB9FA7kJfy43x0aBMWgvspZ8OQcOObzYaqN8MGq7DO/IEZ6GBXAl2ECsvoqErHrHcGB8NyqSpuFD4dAga7sIAA/WbQENuMeWYIYehYWwNdhArL6LhE8WYdzPy0aBM6oP7hE+HoKENmhio3wQatonDOiRyGBoIJ4iVF9GwAfjXamN8NCiTqKN5Koeg4W3cYKB+E2hYiEKKg+w0NHCCWHkRDbmlMd1qY3w0KJOoo3kqh6BhHormsNLlMoGGMbhGkeI0NJBb0IeR6kU0kPvQw2pjfDQoUgRH81QOQcPhXwxct2bQ0AX1FCmOQ0NX5oxDT6KhR+Tx2IJ8NChSBEfzVA5BgzGZQMOjqt8Zx6GhOcA4Vp5Ew3SUMnBTyZSPBkXKh9TRPJVX0VAV4xUpjkPDRuBVdaon0fAvsMFiY3w0KFK6UEfzVB5FQ1Y6lBe549BALkBVdaIn0UAuwicWG+OjQZFyf9TRulPQ8M+7BhwAGkfDX5ERXxI5Dw3NcZ460ZtoeBRdLTbGR4Mi5WJMERecgobpOF+/fuNomIlSyiTnoWElK4iVN9HQF3dZbIyPBkU1gqN5KqegYQ3znZtCxtHwFm5RJjkPDcwgVt5Ew2wU5V4Y2vLRIE8QHc1TOQUNWelYrFvYOBraoJkyyXloYAax8iYadisd8xiW/dDw96QpPC/JGmjYPnXi3xzT7ukTVvFgo0LDOzH3YU5BA6l20SzdwsbRUBuvKZMciIaPUOorZZo30UDKY4K1xtgNDVvuBpDamr23XDQcbJASLvb4FobpeKvUsOkGDjlVaGgjOJqncgwa9M9ZM2goi6nKJAeiYXcKih5TpHkUDXXRwVpjbIaGQxUh6Fbm0wEPDWfvEEtVYBykR0XTBew7ERUabo8FP3IMGozIMBqOAsuVaQ5EA7ka+FCR5FE0vI6brTXGZmjoh4g+YuXkoWFKtFQvlenbqKktc9tKNOSWjLnF8SYaliFF+WvrSDR0BW5XJHkUDd+gIGseqr5shobbo1ey6l0YFQ8NraKlburVoEEDwY9Hu/ACDff8QtRUiVVQhYat8RnJ3kTDJyinSnMiGuYBZRX1eRQNB1Lwh6XG2AwN1aJX8sOsnDw0ZMSu/1vD/4Q4f+XCC92JhBrFmdtWoiHiaJ7KMWg4++w9a/QKG0ZDP9yrSnMiGk4UwlxFkkfRQCpjrKXG2AwN90Sv5GdYOXloaB8tdeeoHj16CANDB4YX6LnRO2q6grltJRoijuap8hUNL35wWE+HQiGOpSw+tF5YoQZ4WpV2MLTfQEGWiwQzyls0EHUQK6+ioRH7YtKVzdDwTvRKnsPKyUPD/GipoSrTspSIiR3JRYmGiKN5qnxFQ4+Jp/V0MhTiWGqjl17h49zCCt2IN1Vpx0IH9As20h9coa08RoM6iJVX0TAE11lqjM3QcPoW8ULOZObkdl42FEvVPKU2PRu5aTjELKhEw7Vxl6mOeaAgHdBAr7DhB4qSDCg78YFCCGIlr9CraPgBaZZ23GZoIEfaFQYK9WYPX+Si4Uzf0kDh1qzL/+ybFwAFnlROGYpIgYaoo3kq56BhYm1dz7FG0bALUDuodiQazpbBDQW2SlO8ioZjqfjFSmPshobwifjrMt6QR43RkLl//Mq4ZRC1tFI6L5y0Ag1rJdMOnYMGAzKKhh9Q4Iwq0ZFoIJkoIQ/C4FU0kKuU0QOMyX5oOAdzKCpG3D2qpUDDFFwcW/YkGt5nva51JhrGoTjKS08Xz6KhOXsogJ48gYZH8TzHpEBDb4knPU+i4QUE1YnORMNWIBXzJQmeRcO7uNJKY1yChml9vtRAQ3fwvjQFGuqgS2zZUWjQm3drFA0ZwmAQhZyJBlIZj8317xrC+hUp7Jfw2rIjGkbXeIKdk4+G+milgYZ5r8zjmBRoqCwZeO8gNLxxSQudwkbRcCXGqRMdioZ2iiBWnkXDqQL43kJj7IiGd1GRnZOPhmoYkgf+GmKO5qkchIbBuFWnsEE0nC2IRepUh6JBGcTKs2gg1+MtC42xIxoW8m6AuGg4kYp5eYCGmKN5KgehYSZK8p7BIjKIhk3ATnWqQ9GgDGLlXTS0RkMLjbEjGranqZwai+KiYfO1BbfkARo+lIY2cRAaNjCvaKkMouErFGMwxqFooEGsZjwSb5Z30TAuGkDBlOyIhtCzvTcxc2r0UJzRdAB3Yv1vbJMcDTFH81QOQkN2u2E6p4dBNAzDjYxUp6KhN26tjRaxVe+i4U9gn/mKbYmGPPcNOQzV2SY5GmKO5qkchAZ9GUTDs2jMSHUqGhYhbSyKxJ5NvYuGM4VlvbgG5Q00LEA6252FHA0xR/NUXkTDffLxgxE5FQ1ZxTHlPIyJrnoXDeFHK92h9Gp5Aw27gRVMkwwNIWBtfM2LaKiAjxmpTkUDeQTtuzb4NbrmYTR0RB3zFdsTDTmbjrBy8tCw46qGh7WdzZfHZKZJhobvYo7mqRyFhsM6jnyMoeF4CpYykvMLDbvP6OlI6LBuHomGoLJk7XDoqJnCch0yUPgv26JhIsN3l67siYYAvmTl5KHhKxTN0UbD96vVs4aoZGh4RzbF30loWA0c1ixsDA0rAFavcX6hYfNBPe0P7dfNI9EvwHJp4QNmCssVMrDlP2sneAjOGRrW6nZhMWRPNNyF/qycPDQMwq15EaKmDZpITE5CwwnpWC2WjKHhM8nsMokc+0AhD2Ll4QeKnBLQj1WilD3R0JHty4WHhifRJi/QcBsGSUw2Q8P+Dzt0/TKHZ62IiZqljaFhAGqxkh2LBiGI1ekpC8QVD6OB1MIrpiu2JxrG4XJWTh4axmV+nAdokDiap7IXGmaVor6qblzPMT+MHprFjaGhedz9nVTORcNHOO9sO9wtrngZDd3Yfpg1ZU80bJ3E7FBIIObl3AGrWCYpGrYCWyUmW6FhdcGIy2zOCbroa+1nSWNouA1vspKdi4bdKVi6GPhLWPEyGj7FBaYrticaODkTQMP1eJtlkqJhdtzRPJWt0NA86hiXMTHSiIyhoQz77a9z0UCqYyC5KnJH5WU0bJT/7BmSV9DQHC1ZJikaJI7mqWyFhsujaGhhrX5DaAgB61jpDkZDV9xD3ircWVj2Mhpyy2Ca2YrdgIZ9FAo6aBjKnB0gQ0MTtJGabIWG8lE0WJlCRwyi4RekMceMOhgN81Dw+JFI672MBnI/XjJbsU3RcOAr1rXCQcMDhd7RRcO3aTVYwJGi4Vq5d01boeHeKBr6cDKsmMSJBS7KEBomoAoz3cFoOFEIX0eXPY2GnoyoZDqyKRpmoAwjJwcNZfGpLhqy2Ne5BA1nCsYdzVPZCg2TImQo8BcnQy28plXeEBpexiPMdAejgdSOB7HyNBpmoBS355sjm6JhI8CIes9Gwz5h6kPCnZdSR/NUtkJDTmOBDClcr+Hy4VoqGULDE+jMTHcyGsQgVqfo3BhPo+E/4G+TFdsUDTnFVdFMCQ8N36LQmTxAwxTFUEBboYHkfnBncWA61/42btAqbggN1TGKme5kNNAgVmTueZfleBwN4Vtr1sw5LdkUDeSWFMZpykbD3k+HkzxAQ2/cLzPZCw3h47KnlAYa5uF8rcJG0JBTBN8yDU5Gw9ky+B/ZloYFXkfDY5xbQr7sioYtrHMggc5LsvYp1ngwCRoyJI7mqWyHhtD96MS1ntis+ShpBA1bgf+YBiejgWSiOSEPUBc13kZDP9xpsmK7ooGpRNDwJ8A4wSVokDqap7IfGl5BDav1G0HDNyjCxouj0TAOZXPJZyh90uNomIOiesFKFPIMGk6n40e1KY6G46mQB8a0Hxq+RorBeNcqGUHDSB55HI2GrfQl9en3Dnv9rmEPwJwqwJfz0bD3y830Q/ddw9UYqTbF0fC71NE8lf3QsLs4Zlqs3wgankN9tsHRaAjfDQ4XF7yNBlIB481VbFs0THj6K1VOJhqm4CL6oYuGzo8zJgjE0SBzNE9lPzSE7o930qu06uWXNQobQcND6MU2OBsNsSBW7kTD+v71n55s5FGhHp41V7Nt0fAYI/oiEw0v4wH6kWgPRRel+zwbomEAanLN0zS7KIyg4TJMYhucjYZoEKuzrkTD0DQ63uUa3kg4iQbiJnNV2xYNkSteJiYaIgxJFA33QXF92xANPyKNG9d0DaDhO9IAGk6n4Ve2xdloEINY7W1XbrcL0TAnMkr2crbDdKm+RUH9TFLZFg2fMpyRMdFQSfyxSxQNMkfzVDZEw+nCUD9lRZSVzgn5JVr10bAW4ORxNhpoECtCjpfEKBeioXZ0bs1U3awHU7DMVN22RcPawEOnlDmZaDixTIjMYwANOeprPYYGuaN5KhuiIXwm8J051bh+Ib+wATR8zpy2QuVwNPQWggW3QZXek3ebLx2RTdFQPIoG9dO3SlXiITkMybZoYCmRzktC2hfvpzLF0CB3NE9lRzT0lbuUMC4DaBiM2zkWh6NhEdIOkJwn6QVUgunPx4hsioZCUTQwPffJ1RhPm6rbQ2johCdUphga5I7mqeyIhoVIP2apfgNoeJrrJsbhaMgqjs9Jn8glxJ4loi+bouH6KBqG6+cdanLEnIfQ8B6qqkwxNLRWzVy0IxpOFMQCS/UbQMNdGMixOBwNNIjV4ejP6wUmhwRGZVM0jI7sVhE6tmEmO4h0VD8izdS17ng09HtLGPFkAA2/IVX1kxtDg9zRPJUd0UDu4Ppy0ZYBNFzInbzldDQMQ5Vvo7+uWGmhAmJbNJwVJ+sXmRdePnFeyv3T2JGYBB1Lw89m6rYvGv6qdbHyYmegITZ7Wx8Nx7pOUH29UTTklsQchcmWaOgZ9ZzOsD9xJTuuJ5U+Gg7xB9I6HQ1rgNExNCy2UAGxLRpI7sePX3Z9e8EVw5pq4d37QCPv1UYeO+KyLxr2qfoMWGiI+XxJrPNyi9rjri3R8DUKcVsVwCfcwvpo+B0pvJPf6WjIvQS9Y2jYYaECYl80SAdK537XoAw9Pkc4k3BboCnbwJZ90UAupn7dZGKgYQZKi7kTQ8NslFA+xdgSDcfS6fgdtu7ViFCkj4aPcCnP5HQ00CBWV0bIwL3p0pET0BCW0Mg2ld/Yy8o5EleYqdjGaHgAPRU5GWj4uGLky04MDQPVPXe2RAO5iR0NlKojb3oUMYKGVxijTyNyPBo+wnk/FxXIUIYX/ktPDkED1cmSQMFXGTl/Qwp3MC1DNkbD2E7zFTmZPRSRFy9G0LBjvvLWIIqGJ+WO5qnsiYbuuI+X4bOGY7mF9dHQCB15JsejgQaxWlunFFByi5XiVA5CA9n5RgVMYOQ8VUDuGFlHNkaDWol1XpJ/gH8VpigaFI7mqeyJhlkoyr0F0pA+Gq7HCJ7J8WgQgliRo/NTb7FWnDgLDeGfy2m0tb8/vVSefAM7cCFHXkKDIt4tVQQNZwrie2Upe6LhYCp+sVC/Lhpyi2Mez+Z8NNAgVuRoSPnDYELOQoOo5kDND6TXUhs0MFGxl9BAbsfrClMEDWuAfcpS9kQDuQ6DLdSvi4btwGaezflooEGs8t1fQ7egoObCytfPZT41XLyGj/26cJeYY9SLihryFg2f3gbUkia8h0omKrY1GvZul+dUo2Hyrf0iS0bQ0BaNFKYIGpSO5qlsiobnNcKhn+G+ZdJFw3coyKWu89EgBLHKbzQ0adCZShijNj7YsH/7YEt6HFc3CwbrCBMlt9VVulnIay9PK9rNCP/P/Twyrm854xeQLzujoY3y3aAaDR1j8yKMoGHNz0cUpggalI7mqWyKhhkoztvRlwu04BXWRcNYXM21OR8NQhArAQ36Fzhb5tFwPBh/sN+T0eog5cP4cHKznjuOTgwuD6cOUN3/nRsHcN+jdFshzvGZIvEwf/qyMxoGCbNpJVKj4a5YX15CnZdKR/NUNkXDPv60+zeUxysuXTR0RV2uzQVooEGswmgYW0nVEWVQ5tGwKRj/Tj8O0q6BnCbNzpIlQTroqu2Y8A9VXdXwq3ODhjGFgTRhW7dphz+Uy85omIti8nFdKjTklkbU4WNCaLhM4WieyqZoIFdjKCfHTJTkvaXRRcNjGpGUXYAGGsQqjIbRuIR3hHRkHg2Lg/GewucyhNvVYcE1YTTsDC+1H0Vyu41T1XCO3MYeeLuacFd8uhMyjFdsZzRsAzbKTCo0nOp2/9bIYiJoUDmap7IrGtpzv94NwE6OSRcNl2uMvncBGmgQqzAa/gOWW6vAPBo+C07t1bhVf2GMVVPxXeT04I/kWNOeO49NDP5BFjc8rKrhnHmUzqXHNqfajShrvGI7o4GMWSR39JRoDwVZ+c5ncpOIht8ZczJti4YpOI8zRj677xTelaOHhjMFNOYduQANNIgVfddwDQZYK28eDSOCwbaDumVkzA2DKaODkDQ/OCt8DjYJBjM+IdltZKfi4Xuo2j6z37xCIYMZZ9DxoJNM1Gu0YomGSI+vgzovSS/lWEIRDR+girqUXdGwy8rEYj00/A3s4RrdgIZxKEt/Bd9/c6N+XpbMo6Fnxhfh/6szM/eQw0HRP9vi4Efh/0d/mr+dkFktZE5cD9WkavVM6Bxq74wMYNi53EIo5Fg0TMUFcpOIhs5KR/NUdkUDqaoeuakrPTTMRim+0Q1o2AosSYrb2MnB2eG7BnEQ+vzgF9HkE00WEDKvU6NeEVRlL6Ea3+6MaZ0MHTCe+Wb0Cv8fO3yfgbyHQkfNt+Zdaa9LMtEgcQNqCA3rgV0yk4iG+1gOUmyLhmeQabp+PTQMwc18oxvQQCrjjaSgYVlwJCFNWgjLM4KxabOTOuaQqcHXJ3eoK53WcS6jVwnqjofCR7o8ij7D9+0Rla3fNZz5aYzsHYASDSfTyqyOLhtCw9nCZeU9fyIaLmL56rYtGibjQg47szfM5RTWQ0Nbran8rkBDOzyYr2g4e1R8T7aCDmboVEco/U4werqGMpeRrHphS1Y76bV0ztEwBWVyydEu58FAL6at0XA8VR41RYmGPySzTI31UCiHCwpoUDuaF7LaFQ3bgHXsLH8C6rfegvTQ8H/8ud4uQcMMFN0ZPtVz/xxoyTukaTQcrCOOgp5K+zD/F6RHJ7d5k6h/tuG9wt9jkL4zGtVBUuico2ETQO9STk68k/Zl7Wac9nHZGg3kcsj6fpVoGC8ZE55A5+V3KMjIYFs0kIrgzL4+kYrf2RY9NASUAXqkcgUaDqVh2I7waZJqzQWc+QeKvkE6X21Dw1bh02h3Rofw/8+D0YC0W+psCn8n9SaEb4zbS32SnnM05J4PScdIL9R8j3uS2xwNmXInAko0dJF08SeAhhFML9z2RUNzNObkqYiJbIMOGo6m4E++1RVomFcEwF1/kls1ovxoyDwa9jQJdhnas04DYSDF+8HWo/sIo6UF9RVGrU0JDv6kUz3prLZzjgbyAF6UroA/gNbmaOgfjXIsSomGNWPjQeUTQIPa0TyVfdHwIS7h5HmYd97roOEPQOOacwMavkgVvDwVWvyaKuCIIVl4Dbn33TaZHYaLrthyv+qU2WlM9BpeUW+vmNgh1kMh6tyj4WU6PT2mX54qLEz0YA6UsTca9spH9yXceUmyO94tcwEmoEHtaJ7KvmgIPzByIg6sWMFpsw4aPkVAw+oCNGRfEvENWf1PVLMS5ceJ/hpY+gIlZBzYT0dwbyjfj+FN195oUChxNJBL8LHURNHAcDRPZV80kABjyoe2dNDwKrTOaheg4ZeYR+lN2nFceHILGrYBypnghHQD0uuqXmB7DQ0PyW+5KRoYjuapbIyGxmhusn4dNDRFOw2rC9AwI4aGH61V4BY0hH8b1afanjcq4SrVRedkNPz5veSgGETDC3hEaqJomKV2NE9lYzSMRQWT9eug4WbubE4qF6BhUQwNFl1KuwYNj+N5RurZ2YJrxH5ScNocDT93lY7JVqDhKbSMrxhEw/RafaUmigaGo3kqG6Nhndr/bUTzB6unkFLpoKG0ymmmVC5Aw6nSETJUoucW99aTL9eg4VXcwbWtBq4ZGXuwsDkaRuNKsGQGowAAIABJREFUiUmBhhrSQF3WeyieRFuWycZoyL0Ik9mZanFGuWmjYTfwt4bZBWgg40QypHwZ/rZu4LrV58s1aJiLwty4mMvuSUFsZMzSQc+OMO+bP//Q8BPSJF+JHA1nCkrd6ltHQ3W8yzLZGA0kE8+wM7XBk8x0bTT8iHSNMKquQAMZe16YDAXogPjh/DhdfLkGDfs0J+7+1UXo29xw/FRDStLCpqew5x8aDqfgj7hJjoa1MieYltHAcjRPZWc0vIOq7EzDcAMzXRsNH6Ca1pZdgQZyclEPpNL5eP8wx8XryDVoIJca6N6qWTIaCJD5q6mhfHwNWf02SdgFxQPFvkWSFeNokF7xYTSwHM1T2RkNK3n+nL5OvYaZro2Gl/C41pbdgQZydE8ZMajT5aYitYhyDxqegO5GthWPvbW92OR7GZv0UMhkFA1TL5FOPw6j4VOOUyw7oyHnfM6ch9OcE1gbDXXQTWvLbkFDqJE4nX1YT/O+cNyDhkGoqZvnaLsYG7ReQjHkZDTMQxFJHWE09GI4mqeyMxpIhj76ZdJGw1W8+VqiXIOGiSh+Wj8fU+5BwwIU1D8IH8XQYNKXppPRsEMGwjAaMtCVWcrWaBiqETaCJU00nC2kHSbVNWjYkY5vLRZ2DxoOp2CpbqbfomRINxNbm9gEDQc6yiaUGn7XcD6mxVfCaLgM41UlqGyNhmVI2Wumfk00/AMwhtDH5Ro0HK+NzhYLuwcNpCpG6+bJuSKChid0s8qVn2jIvHR+bFmGhu9RQHrFG0bDWyP+ia8cDO1PYTiap7I1Gs6Wwgxmrl9aMgdpaKJhHoppRmdwDxreQmVhcfMYjlNurlyEhifRSj/TkhLiCDFe9AKe8hMNNSWvk2VoGC73smC18/InlqN5KlujgTzMHO9KyHScz0rWRMMITo9nVO5BwzpxctHeFPxmsrCL0PC2oWnpm5pXLHBFF/2vRKH8RMPTaBZblqFBaiDW0TCW5Wieyt5oGIzrmLnWsrtiNdHQQRUlWC73oCF8Mz2ELt6IV0wWdhEaFiPN0Ahomw+Ult8cyNDQtrS0FZbR0InlaJ7K3mj4BanMKykrnengTBMN9+tcKC5Cw/Pi7PNXcKPJwi5Cw4k0GPqubI+Gpc1HxJYVPRSyC944Go78Enc4fzD0fyxH81T2RsOZYpjFzHbfw78yUjXRcCljnq5ULkLDN0in+/Ibypr05+IiNJBrMMxINtujQaq86Lwk5AqMiS0fDF3IcjRPZW80kPvQ3UT9Wmg4yYr4KZWL0JBVQhgrlrPUw68hSUumw0OVPIiGBng2tnzwb67ndpujoT9uMlG/FhpWAdqXvovQQJ6Qv6EyLDehYZT2lJmoPIiG13BnbPng5yjImXRoczT8gDROzAmWtNAwDRdpF3YTGsajTP7EobCk/EHD75LwLRpyABpObIguSdHw9APyZ23jaJiFkrENHBzIdDRPZXM0nC6Mrzk5GWTVQsPruEt7y25Cw95UY+/glHITGk4VxEID2eyPhi9SY96OpWiopBjEaBwN++dtjy0fbMaN6GZzNJC70ZOVLevWUoyQElpoaIGntbfsJjSQW8TDNu2eF3Wyy+UmNJAb8YZ+JgegYVW8p16CBrkjB2K587ImBnNMdkdDH44nrwA+USdqoeF2vRPFVWjoj+p05U3ecBaOXIWGtqhvIJf90SBx5iRBg9z9E7GKhgPFmY7mqeyOhgUowPzq7mWNUtBCw/n4gmsT5Co0/CH6D18LbNTJL5Or0PA+KhrIZX80kBqIjmyQoGF16wbyWqyg4Y8G5YHBnH4su6PhBOeJsSPrJ0EDDexgwFK5Cg255TCKrlWSOhbVl6vQsAIwMDnPAWiYOWtPZClveijI3okDhc8ZBYQpJPeeYpayOxrIbejLyjenC2PilQYafkEq+wDEtG32r1quI0U5BQ2kjRhuoH87U9MoXIWG7CKYp5/LAWiIK4/Q8DNS6U7vLxWZeMqOH297NPRAbcP1a6BhIi7TLLr29vAhumCc3hghx6BhJgpZiGznKjSQ2znnvExeRMNR0ZnFh1F3FZWZpWyPhq9QSOfnPi4NNPTCw1olN5URD5JefGnHoOFEEczUy6qWu9DwHIL6mRyKhtNHlDYz7xoqC051e0TRkMJ8FWF7NBxJMx6lTQMN9TnTuyNqGDlIaTqxIh2DBvII2pgv7C40TOb4Q5XJCWhY93HEzWccDTNTlHOSzaChTvEhZP2AslE0FGTeLNseDaQm2GECdv+nStJAw7UYqbHV3GLRo6Tjdtw5aBiFS4QTLDRF04GNXO5Cw3pgu24mJ6DhXkQuvTgapIOdRZlBw+HV/WoirlrMUvZHQze2w9t2aKFK46Mhpwi+0djq0dhR6qXdPOeg4T8IQ2L2pIExNownd6EhpyS+1M3kBDR0QYa4EEdDfXRQ1GIcDWv7CY7vKj13VeR5Yj6zlP3RMBNFWY9Cb+IWVRofDf9y42cKyi0aRcM72s1zDhrC90mv0o/qnJsuptyFBlIb+qesE9AwHpXEhTgaLsc4RS0aaFi/JHaR5/zUoyo9z6/uET6Td95EFwspa4rI/mg4kMr0YyadIxIVHw3forBm50P96LsGnRFCDkJDTwihSHrgNuOFXYaGF/Cgbh4noGEZCovfSxwN899Qhs7goSF32CVA4eb0sjr70/MBgQv9IpHUc+b2aD2S99BlfzSQGswhzhsZoa34aBil4ylwQyTG9As6zXMQGn5CCj1Ai1HSeC+my9AwFWV0X7Q4AQ1Z6yNXvZXOy+fEM/uqgz89f7HIhQ2EjAu+L1ppOFyOHICGTniUkfHsuEWqneKj4XkxohNfSy4NH7USr7tmXEP4AF0gTM3L/sZEvBqXoeEfYLNeHiegISYLaPgzJXJDXCj8l3rnCDHgwjPR+ZbORsN0lDQYkpCPhofxsl7hjdN/0B9A4SA0kGamwyu4DQ255/Ocm8XldjT0ib1hL/DQ+zFfyyOid9HORsM+5fRTrvhoqCyGiNWSq+ZQUE0xH+DOZWggD+o+IToUDfP+VP2McdDQKkqGwtLTe1E0vI2z0UCuxNvG6ueiISsNv7AtcbkODYcLaHbYsuQ2NPSGbmMdgYZd/RoLSTE0nI/pylo4aOgeRUNFaer+65qJ56HD0dCO6Sn/xPeqUH1cNKwD1NVKNPfZLe5DA/k/cQTo3CdeM1rYbWj4EiX03h45Ag1bIy9NomjYxphsz0HD/CgaWjO37XA0fIIyjC94BaD0/cdFw5c4T3Ort4Yfy92HhiHilLIBuMZoYbehYTuwXieLI9CQW1ocvBVFw1wUU10RHDTkPiSSoQx7XI/D0bALWKXOeUI93oGLhje0O/cXAktdiIa/RD/iy0W3LkbkNjSQSzBZJ4cj0EDuEieRRtHAGu/H67w8Wp2SocYK9rYdjgZShTkBohImKlK4aHgGzbU2eh8dGuM+NJCqQiTV3HIGgkaLch0agnhOJ4cz0PD81YJLnigacv5Rj37noeFsBTR6b5n6xab4HtPpaHia6eXvUdUwWC4aauF1rY1OqLbIlWjojLvpxwuNvuNml8t1aOiP23VyOAMNEVkZ8jQH6WvVDuC2X5EmuMByOhom4ULGwfpnjzKFi4aLMU1zq/TBzYVo+BZp5oJAuw4NX6Gwjusu16OhHh5n+IbMLoQF9NPpaNgqRoXXFQ8Nh4GVuoVdiIYzpfCpqcKuQ8M+gPOQHZXb0bC3AL5guY29XhwR4HQ0kEtV88yY4qFhCVL0v38XooFkcuOPsOU6NJCK+EA7gxPR8P3Lc9U2DhqG4KIzLDQ0R0v64Xg0NDMW2pSHhv+hAr/QpqZrhE83omFCJMDdSYNjn9yHhky0087gEDQMq96NxNDwAmtWEQcNV+MFprP52a/9QD8cj4YPcAkj9X/PL5Yn8NDQF/fxt9gGVwjfhBvRsDcV9BDtKoI1hgq7Dw2DcaN2Boegoa8wrjOChgdYM4LYaPiVdmBrRa9yOho2AP+oU2tBMcyPh4bGKpc4ce0oFIkd6EY0kFtFR7jVDMV4cyMaFqKA9qQ5h6BhOsqQGBouZr1CYqOhNe2icTMaSACqUdH0917xmMFDw40agVq6orx43FyJhtfEkZBdOe7/lHIfGg6nYolmBoegYYPg51JEw/HrCzJuAploOF6SvmtxNRoaMTxBkmG4QZ7AQUNuCXzF3eDsmhGfb65Ew3LxdmsBChu6ANyHhvAN0yhNu0PQkNPgld3xHoozjPeUTDRMQLEjHDScWUOHGDsfDaOj3vGk+vo8xSsEDhp2AFo+5CPdQa5EQ255YSBp1lTldBO2XIiGJuKbeK4cggZRpjsv70IrwkFDNzxO3ICGtYDat7xqhgkHDd+jINejZlyuRANpqx2aRyEXomGYzuQyV6NhQwroCctEw0RcStyAhtyLoF+Wh4ZxuEq/rEvRMAuFTFTmQjT8hFTNA+BqNPRANVoVEw1/AgfdgAbyBGe+uUwcNHRn+nugOtk07uHFnWg4WdRALIaYXIiGE+lYrGV3DBrO/n1GREP2tQ22MuwMNGQHxJ4pJhpOpdOwcC5AwwhU06+fg4bH8SKnwEgUjfHAnWggj4pMXfSMEU9ZLkQDqa7tI8wpaDhaBCtENKwDdjNqYaBhFtIFr+vsHoo567JdgYYVDN/y5JsHG8jWOWiohvfZGztTURIJ06VoGC0GuHtF2ZvDlBvR0ApPapmdggZSAZNFNHyKC1m1MNBQJxL1ytWdlySnDMM58HScL1tnoyG7AH5gb2wCCsR937gUDdtSsCz88TtSdugXdiMaRuNyLbNj0PAoXhDR8DIeYNWiRsOeApFo6e5GAwkyRjSuBfZJ19lo2MC+AQvr53ueia+4FA2kBvqF/+dcrDfPiMqNaFiCFK2ijkFDzzARBDRMrf8mqxY1Gt7ExeKMdJejYQijEypLeJMiWWeiYQ5KcDcnOWRuRUMv3EQ/2j7ImK2nlBvRcDrimYAjx6Bh+UdrTfZQXIWXxAU2GnK+6L/DFWhYipS9qsSGT8v8MLDR8LZ4bejJrWj4xdCjhCg3ooHUxGANq2PQQGUKDT/HfOZy7hrOw+euQEN2ifCO6IiNhnbGZnS7FQ05F+FDo4VdiYZ2mkEN3YuGp3FnZImDhrvDj5puQAN5CJ31CrPRcI/wsK3W81/LVt2KBvIU6hkt7Eo0fCgM++PJcWg4zPFop0TDsRKxKYkcNHQKnxiuQMMgXK9XmI2GcmwvaD9CHi/PtWiYimLCvOSzS3ULuxINKwH1o2hMzkHDnjlzKBraFnyJWYsSDR+iePQ04qDh/bQH3YGGn5HKODuOS48HEw3HOSEzH1YEPXMtGg4XwPzwx64LsEGvsCvRcLaYxsRbB6FhKG6kaLgNA5m1KNFwB2Ldbxw0nDjljh4KklUUc5RppyqlSC97JhqWA0cY1f0JfCuvy61oCD9RCcEYqmCYXmFXoiF8kbzKNzoHDd+gUFYodKY42F1NCjT8nRIP8+ryzktC7mWEPS6HjyVrTDRMYTqPI+vrKgIAuRcNQ8VQqB213OCJcicanhemH3PkHDTsBdaEQn8B25i1KNDwYsSvIZXr0fAqI5rX/bIwNUw09Edtdn0Kx2DuRcPfwFpCYzIU1Lvw3YmGj3Ax3+gcNJCLU78MhQ5M7cuuRY6G7EvwVmzF9WhYhHTVJdNJ1jHFREMztDHUOPeigVwuTMA7OY79cyORO9HA/aGlchAa/jpmvPPyS6Tviq3w0PBz06fdgYZThYXXaTJ998YiyRoTDbdgiKHGuRgNRl1DuhQNuaXwBdfoIDSYGdcQRN34Cg8Nn6P0AVeggdRCL+3CTDSUxix14pCpKhdRLkbDQqMB7tyJBvJ/GieOO9GwuwBmx9d4aNgErHYHGnrHhndxxELDHlZQvN2F1cHVXYyGM6XwiaHCLkXDi+y5ioIchoZt0/9R/aiJkqFhMMpKRkbx0JBTHFPcgYZv9d6jsdCwGGnq4/IiyqqiE7gYDaS+OFZ8yQvvaRd2KRo+w3m8i81RaHinxXdfI/UY2yhDw5XoKTFxX0NmZsxxBxqOF4AqGvyJ5eviKyw0fIiqqrSDJTBUlehmNEzEefS86YlbtQu7FA2bmRGORDkJDVdj8FCu9wkpGhbLb5Vd30NBYzH1Uya1QvP4CgsNPfCYKm1X84vV6LWChrOfd2/cst9qYblbUJDQnGO/Loy8Hx6l8D2XHDTsSxVmry9G6h7Nwi5FQ+75mMKzOQkNjdH8adTn1CJFQ0v5e2cPoOElqE7LN6WDHVhoqIeujJoYV4AFNOT2CrYY3KdecDpdadKgM1Wf8OLqZsFgHcEp1ba6ihcdyUEDuU2Yun/2fPUrFplcigbyELrzTE5CwyDUvJ07slOChmPFMVFq8gAa5qKw8hXBLJSMH0cWGq7GGGONs4CG74K9wu35t0ndreGnnWDM987xZj13HJ0YXB5eHKB0FZAkNAzA1fSjyc0zNAu7FQ19eMPenIWGueUzdiz7l22TouF9FJfdFWugYf8ud6DhcJrKcfhGqTtZBhpyCmOhscZZQMOAoBAV68vg5+ErJhjbuSVB6julbRhJa+oqvagkCQ0rxABe3J6viNyKhpkoztt1J6HBaOflbYpRfnw01C0y0h1oIDfidUXK2S83xA8WAw2bhTCiMk17j3k0LKChXabwHS4Jjg4/xwdjr0iXBCmt2o8iud3GKStIEhpIRbxjoLBb0bCDhpJny0lo2Nrv8cf78t4WxdHwF/CbzMRFw+HqqNh1FdN0fGyT+zr9zjSdntDivvaLpCk2QENXjQ5qwkTD1yimOM7ZldlhKSygYbN4c/cBvWv4LDi1V+NW/anLrWNNe+48NjH4B1nc8LCygmShoT0eNFDYrWggAUziWByEhulFEVapz9i1xNHQHVfKTTw0rKlAK0xnjQfbcjk1pXRgDKLYcz01oalk4IQN0PAlinF83AhioOEdlQOY/6HAFlZhy52XqxpmhkuOCAbbDuqWkUFnzK5sEgxmfEKy28i+xTebhdW85pZDetof2q+bR6PwAVbyVBTcLiz8aaGwTMtr6x8mbSUBDRnoxLE4Bw0bCwmXJAqqh/BRxdCQXVbZNc9Bw+kqYoX4SGXKuTFiYszjvz9ikhDFBmg4kAr2PY4oBho6oqE8Ibc6WjALW0TD2dn1MmjHYM8MOk5/dWYmveE7+tP88GPMrBayJ5eONcO6tebGUDK0vQgmhT/WVsTyBGtaVlv/MGkrCWh4DbdxLM5BQ7fIJSl631AphobPka4IrsBBw+fRCq87eFB4rXAwLHrK5hycEzVVOHCQPrBnURO9gzh18NeoqXT8V9oGaCDXQumD/8CUeCcAAw0PoI884fhzxdYzq7aGhtUdgq1WSNYnB2Nj1080WUDIvE6Nem0U17+dFNbEmjtO6ulQ6JBuHo3Ch5npD6Nl+P+JchiuUfggp7BUa2vrHyZtJQEN81CYc7vpHDTcE70m2dMFYmh4DE8oTBw09EFcL4fXT9OFUeGFfyAVjXD0CV2gwHlTYvg7VpMd0NBRNYBpOXAousxAQ0V1Tz7L5xOxhoYz72c0+FTWn7osODK6OKljDpkafH1yh7qSB5hkvWsgY3ARpX4bPKJR2LXvGkLAcrbFOWioHb0kb2fWEkXD7nSVGygOGnoliIb4m107oGEaSil6b06kxl/HqtFwUvsJRCorQ54GBbtHmnv2qEiIFcGoG99Q5jKSVS+8ltVOciIlDQ3bUkDdxs5EYY2r37VoIJV4cU+dg4aO0UuyLbOWKBoGoqwyVg0HDZ9GK6y2eTM9urmbw6I/nGc2T46aLvpnM33EOEZN9Mo7tDn2rFEs/ptoBzTsTcGfiqRK8ZFfajSsBoyeUhbQMCs4LPotHKwjdntMjfVhDu8Vvh6DNITOKElIvqShgVwnjDI/NpjdVyXKvWioz7mgHISGVWniJZmqvAJERdCQe7l6BjoHDcfLRS7y0SrTmSsjpv4qU+5tEZPklYcd0ECuUL0zfaRgzNOVGg0zFFGFlw7lzFuzgobcNo3i7xn7BueF/29o2CoyTmRLnU3hBtWbED7M7QfFyyQPDb1RU7ewe9HwBi9SuHPQQMal0ysybRS7lggafkDKRqWJ13n5y3nCNd6c0UO5uqxgymC8odlSSTDVlpwqCjSYn1qUF2hoK/VeI2h//PZJjYaBinc2QcZkq4jMo+FAsH5XUeGHuz1Ngl2G9qzTIPpI21foQJoSHPxJp3qb42WSh4ZfDQS4cy8avkMB9tg+B6GBLG93883tmJETSAwNzRljwrlDnna+XLtG4y/Z1b16X/X6nzAbcnjwQ9c88aH0qUWOBgtTi/ICDR+jDMeVBWGhoSVaSVdXpfBDEphHw/pgVPRV595322R2GB4NhrKinrCU+1WHWA+FoOShIedi3uN2XO5Fw2HeSycnocHAQOkjRRkz6PJ5epWFqUV5gYbtwGquUY2GO+ShUBvjOq5PDzf7axDUAnXox7rXP+ZkcDMawk+iI5npLkPDOJRUf4X5jAYLU4vyAg2kMjjPWoSFhgvkMXT7luaMMiUeQMM08Z1yN9zFLexiNDTljHRzGRpuQTu1KZ/RYGFqUZ6goRUaKFLebhgNQ6VCwwFgjSzhCH/uoevRcKQgaADg7zR8yLoYDcPFaekquQsNa4AlalM+o8HC1KI8QcNEXKQ4cLViPSwqNPyKVO7uKeV6NJB7hYkEZ0qxwwNTuRgNPyOVeVTdhYauqM4wJcWVi9GpRYvp1KJmz7yvPz0oFNK2rwSWylNaIjOydFBZeAwu1d9iRAeMTGpqsIh3tAwqmWh4W4wmX78ql9AuRsOJdMEHnkquQkPWhcy4pklAg/GpRXPo1KKazcflwUSh8nhbnvA6qvPydsU98ZW/X9yQ8MbrL+IdLYNKJhr+ER+vPDkakk6/UbsKJi5Dw3QU3Mcw5T8aTEwt+odOLZrUcYLu5J3joZBOjsZoLE+Ye0U04Ziy8BN4Nr7SA5cd16j3SOiAbutONmT+8phQMtFAqkHVaSSXm9HwNBqzkl2FhkfYTmXzGw3mpxblybsG8j7K80yqdw3X4d3Y8pHS2heG+981aHZOCHIzGsYwog4Qd6FhRxrmsUz5jAYLU4vyBg1/A5s5JiUacotJomQORKlDygJSeQAN3yFNPLqsu04qN6NhKVJYh95NaBiAckxzPqPBwtSivEEDCWACx6JEw39A/KZlXFntOSAeQMOZ0qDfwK4bUzlDpt2MhqxC+JaR7CI0nKmqdE4SUf6iwcrUojxCQ0O05FiUaFiAQpIjeUr7gvMAGsKHjj5v84dMuxkN5CYMYqS6CA0LkLKJacpfNFiZWpRHaBiFy+QJn193n7igRMNoZi8vR15Aw2SUolPpIkOm1XI1GtqrvB9R2RANazdYQ0NT3MM25S8arEwtyiM0rAH+kyXMwPnighINXZgnA0deQMO+NPxAYkOm1XI1GsajAiPVbmg4Pfh8oMIH7DmEmmjYXBSc68sD0atE5V4A+QShdYBIJSUaHonFCz776ja9ar2ABnK74Gj/8Es/sk89V6NhFbBLnWozNJyJuHlrzszJR8PS5tUvRHHOt+cZNJB6iuA8WdGBbko0VEG0y+QzFNG7JD2BhtdxlVbh/EHDzDbHTetIaL/5QooqimG6OvVg6JD5qoZL31rkKRrGRt2rsV6Z8tHwgeDlhR1gxUtoGI4r5AnPviw+tyjQEEZG5ErOvR5P6tXqCTSsFAPc8eRqNBy/Db3UiTZDQzTIA9tfHQ8NGwpESs1hbsA7aFgujXMplQIN64FIB/5cpPC9PETkCTSQihihYXX1AwXpzHLxZbMHimpRNDzMyslDQ+9oqQzmBryDhpzSYLtdUKBhJkpHlmZXZh8zqbyBhmfF0ID/jma6/XI3Gv6ncBQqyGZouDV6kTPvcnloeCJaijng00NoII+hIzNdgYa3cGusWt74v7i8gYa5KEgr74R7WVZ3o+FvZdcWlc3QEIsNMZ6Vk4eGhtFS7DdJHkLDW8rxCjmbBc+3CjS0xlMmGucNNJwsihmERgkuoHan4XY05JaW+/wSZDM07LtEvMavY17MPDQMiaKB3bHhITT8jhRZrhNFxOgUCjTcjddMNM4baCBBwZHu6eICIZRyNxrIPUKQJrlshgayXohDfQejm5Xw0bD/fJEM6StYVi+hIbsEvpAllBNHOijQUDbySmIkO7SwQh5BwzgxwF3GRR8yjC5Hw0u4X5VmNzSQ3CXvlOINZOd2Xv58ISVDkU/YxTyEBvIgusjW74fQNjkajgICRNelpjL85ankETTsTBG8B+5njnlyORqmoZRqCLLt0BC+BBqo/J9GxB/yNBnpDd7gDevzEhpeV8Qi6oRM+iFHwzKkCKGqnsJV/NAVcXkEDeR69OXaXI6GrYxRHXZEwyicxyYAHw3t8UA0UrZaXkLDT0iV+V74bbIwbEGOho9Fny9b0sEPvCCRV9DQBzdybS5HA7lQ7THXjmhYlyKEp1aLj4bKGOijgSqrqCpQuJAsQ0M/sYNuaY0q3GMmlVfQ8BtStgsLDAq4HQ0Po5syyY5oCF3DnD+ugYYtwM8+GgTdwxwuLkfDkxBPwdztRmr0DBpyLsZ74Y9d9xXeq7K5HQ2voJYyyZZo6MKZXs1FwxiUC/loENQvPppJIjkaajIdb3PlFTSQlsJw2rPnY5LK5HY0zEJR5aVlSzTMRUFmq7hoqIenfTSI+h7psstn+zz62l2OhpLMhw6uPIOG6ShCv9gnGa/B3Y6G3cBaRZIt0XCskBBoTCUeGrJLYYqPBlEnC+Eb6XorYRyYDA27gI2ETGO/z2HIM2g4UlAIF/4xSp5RmtyOBhLAREWKLdGQW1v9UoSKh4afkbrPR0NEd0LWmjdxC1GgYREKnCHHyuAjg43zDBrIfaC+fPe3nak6l1yPhjqq2Tf2RMPruJaVk4eGfriJ+GiIqJc8pMJslMztkq3aAAAgAElEQVRVoOE96tXhLZQ0cMEL8g4ahjE9oVG5Hg0DVO+o7ImGJUhhDZXmoeF29PLRENV8FJS2bpPg3EuGhheQQU5dgh5GG+cdNPwDcLxXuB4NX6Ow4iqxJxrOlmH6eeSg4VA6FvloiOpYAXwvWT275AhRoCEDL5B/7yyyx2jjvIMGcgWn29z9aDiQIk7Ei8ueaCCZzEmUHDTMQLHTPhpiugWvqtJkaLhC6L7nBbpSy0No6I476ceBT79RGFyPBnKZcFZIZFM0jENZhsd5Dhra4XHioyGmFxmjQqRoyC4YvskyIw+h4XsxwF1bPKIwuB8NDRQuh+2Khq3qblbCRUNlvOOjIa45KKLaKSkaNvIcSPLkITRklxb6bWahsIIE7kfDW7henmBTNJAqGK7OyUbDJmC9j4a4DqfhZ8nqrre7ytEwFyV+XGimcR5CA2mERuH/xwsrPRC7Hw3fI11+wtsVDe3xqDonGw2jhXmEPhpiugEDJWsrgIMyNAxDzZsZTn348hIaPhID3D1UdLQ83f1oOJqK32QJdkXD5/TVolJsNNTFM8RHg0Sd8ZBk7ST9yqVoaI97gD9MNM5LaDiQJvTvbFOGt3M/GsiVeFe2blc0HEpjvCtjoiG7FKYSHw0SfYHi0oG+l2GCDA33opLqLZumvIQGcge6s5I9gIZmil5Bu6KB3IpeqpxMNPyEVOov3UdDTAdSIfXr9mhgnAwN5XF9ymIzjfMUGgbiSlayB9AwQuGQ3bZo6IObVTmZaOgrZvTRENc1eEuyRu8gJGg4noJlf5tqnKfQsEqYexaW/EzzABp+QeoR6bpt0fAj0lS7zETDbeJ0Ih8NcXWgAz1kkqBhBcAKtKAhT6GBVBL6xvbULyM7/TyAhhPp+EG6bls0ZBXHdGVOFhoOpYk75KMhrqkopThOEjR8hrImGkblLTR0EPyunykld5boATSQGhgiXbUtGshj6pC4LDRMj3Rl+GiIazewXJ4iQUMX3G2iYVTeQsNXYviqTMhOSy+g4RlhTEdM9kXDCFRS5mShoS2CwqePBomqyaI+97h7jgQNVVHRTMuI19BwqphwuzoBZaTnmhfQMBZVpKv2RcM64B9FThYaKkd6Y300SNQG9SRrtfBaHA3bU+S/DQbkLTSQDLQM/9/dYKL0rPECGpYhRfoV2BcNpDzGKnIy0LAREIOz+WiQ6H8oI4k90xZPxtHwPJgxHbXkMTS8hwvVgXu8gIYsue9AG6OhBZ5Q5GSgYZQYbcVHg0zbZbPThuP6OBqaCDNOTMljaNiZohgxTOUFNJCbZSPsbYyGj1FaAQIGGuqgtbjgo0GqyyCZA/DDvd3iaPgJadxd5shjaCA3oI8qzRNo6CB7DrUxGvak4Hd5TjUasktFYj77aJCpheKFQhwN4+XvmozIa2h4RYwbenKeZJc8gYYJ0VtwQTZGA6mBAfKcajQsRmrkgvHRINUExeCFOBp6mps/QeU1NPwuBrh7BnXiaZ5Aw2rBj2hUdkZDd2UPvBoNrwiu1Kl8NEj1D7BBuh5Bw4mPzjyBLibb5jk05JTFOCKMmInPv/QEGs4Ww+z4mp3RMB8Fj8lMajTcGnss9NEgUwW8L109IqLhHVx9jfQthDF5DQ2klTBW5kgByQt7T6CB3IW+8RU7o+FkYUUANhUaDqbhx8iijwaZmqBZfGXyBXcIaMiqgC6FscBs4zyHhhligLt70uKhQb2Bhi5SB0p2RgO5F51lJhUapqFE1DOBjwaZxknfKM1AGQENH6DQr8B/ZhvnOTQcKyT8Jv0tuea8gYaPcWF8xdZoGIyrZSYVGtpERkkTHw0K/QVsia2sA/6i192AQm3no4h6PI+OPIcG8gCeVaR4Aw0bgH9jK7ZGwx/AdqlJhYbL4j6rfDTIlHuxJBJ8VjpmCdfdjl3v4jrTjfMeGkaggiLWgTfQkFtaMlTW1mjIuVByfhM1GsKQizkl8dEgVwO0iq/0G7Eqct09xwgQryfvoWEzsFKe4g00hB/he8aWbY0G0lA+M1aJhpGSSYQ+GuQaKRvaFBvX8CDMt9V7aPj/9s48MIoi7cNvEi6RUxQP1lXWE1dX2VFZQJYVF8Wjk2DkChoMtwEWuRERPsUTUFYlEdAAKiCooLKwgFFQVllZRLlUEBREkWMAuTQkhNTX1d0z6e6pnsn0TJKZqd/zx3T1UdU973Q/00d1FbtSqzJ8oM/FvnaPJFHDKLrFn45tNbxM55pP7OxqSDV1uAM1WNlEtLtsjKthHt/oi63nYeVCQjUMp1bq58k6/vNrSdTwFtX3H3CxrYZdRBtNs2xqOFWP3vSPQA1WShvR3LIxVQ2rqPF+djKF1oS9cRKqYRUl71cHiv+qTBI17PK1jMliXQ3sMppsmmVTg6X5SKjBRhr1KxvZu3RPe36uuJko9AFoR0I1nGpIrzL+CLix8TxHEjWwxmV/KDGuhhxLbys2NYylFmUjUION50ytpm9MorZJ9CHv+efssLdNRjWwrtRZ/fzx71OM/UMWNdxOQ3zJGFfDO3SG6QC1qeFGeqRsBGqw8Tkl7TOSedVJpfZWXlOkVfgbJ6MaXqd6lp1GFjWMo5t8yRhXw9Hq/L/Oh1UNh1PI1NMK1GCjpIHvTkxBEmlcfpJla42bhYmMajhUzbzjyaOGxVTbdxzFuBpYS9ODVpsaFpTVkmZQQyB30EA9cSsZzGOtLe34lBMZ1cBuoqHmUVnUsJdos5GMdTWMI0/ZiFUNvSnVlA1qsPM0XaMnGvjU8CA7J+yGIZmkanhKrxdy+r96x8GyqIE1oZlGKtbVYPRoqWNVQ1N60ZQNarDzX18DwbV9asg5TLQp/I2TUg2b9cd4vekebVQaNaRTjpGKdTWcqudr4Y3Z1LDV2loJ1BCQoS69qyU8PjW8+BklO34pZ6RUA7uY+CvZc6medtUqjRoe9zeOFOtqYIqvXVhmU8ML1q5WoIYA2hsPonINM9Tb/2rY3dNw5FTDAK3O8KFqtIqPSaOG5VTTOCRiXg1mA1jUoFg7voMaAphg3Kcp6aSZocZCNpbau9g4OdXwb6r+izpoTdrOLo0aDiWRfncl9tXwjanqplkNxfWs3eVCDQGsppRftETp7PZNmvXYxF9XG+Bi4+RUw8k62sPf9XoDBtKogf1BaxiTxYEa2IVljRma1fCRuZY0gxoEnKxFS42k8ebldfR8mGVw5FQDS6MeZSPyqKGz7wo+9tWQTem+pFkND9NfLNmghkDa0igjpauhtA4tC7cMJq0aZtA5ZZev8qhhkq+xn9hXwzzjHjGzquEGc+O3DGoQMc6vT10NPxJ9F24ZTFo1/JxkektVHjWsohT9q8a+GrzJ/l/IpIbDKWTdF6GGQD6gasahpKvhA6oR0NN4OZBUDcyjNXtzcETzEzKp4ZjveIt9NbDm9KiRMqlhvqWWNIMaRPxag97XU7oa8mzN8JYTWdUwXju1/u0Mek8mNbBmxg2pOFDDSP/LYCY1WHod40ANAlr5evDR1TDE0t1puZFVDf/T21fuwJ+SS6SG++g+bRgHaiigakf0lEkNv6ep1lKgBgEPURs9oavhTv9tybCQVQ2lF9BLjLeyeUGpTGp43mjoIw7UUKid0XHK1GCu7aADNQhYRjX1L6Gr4VJ6JewimLxqYD3pLvXze8+4kzKpYQ0laX/FcaAG1t73dnGZGp6ni22lQA0Cjlejj7SEpobi6uYGLsqPtGpYqHdwx5FIDYXV9brh8aCGiXSFnihTw13mhg81oAYRNxi3cDU1qKda+0IsL0RaNRyvSf8ykhKpgV1LE/kgHtTwpa+fRr8aiuoEtDsANYgYZvQroKnhPaoffglMYjWwW8l3rMqkht5au5hxoYbS8yhfS/jVsMpWS5pBDWIWU23tu2tqmOR/3zY85FXD8/wOpMo3X8mkhmn0Bz6IBzWwbtRVG/rVMIZa2kuBGkQcSaFP+VBTQx+6N/wSmMxq+J7oS8bbNc+USQ2f620AxYUaZtLZWncAfjVcT+PtpUANQq6lJ/lAU0Nbf92x8JBXDewqmqB+zqKzDkmkhuJatJzFiRp+IvqCD31qOJhMn9hLgRqE/IM68IGmhvPpDRclSK2GkdpbKPuTaYVEamA30uMsTtTArqRn+MCnhvllb1z5gRqEvE11eFy4Go4l6YING4nV8DEl84c6N9LDMqlhgFbVOD7UMIj+zgc+NfQqe0/bD9Qg5EAS/Y/palAvId0dWBKroaSR1n3w6i9lutegXkA1YfGihsVUix+nPjX8vqx1Fz9Qg5irtF5DtZ6ytR/cBRKrgXWjTnxwYOHzKwpDLZswathMtCde1HCsuvYKoaGGr4m2B5QCNYh5gBSmq2E83eymALnVMId3cHf64ZpEdNG7IZZNGDWcrstfTYgPNbCbaATzq+GfAbWkGdTgxBtUv0RXQ2ZADdJyIrMaDlWjD9hDeovcyUuDL5swamBteG+ycaKGR+k65lfDnSSIINQg5meiDboarqdn3RQgtxrUo2TIvupGa/1/DL5o4qhhCN0eN2pYQ0l7fWooqkMLA0uBGhy4jLfMwdVQ3/9CQJhIrYan6ZI3fV380M9BF00cNcyls+NGDSUNaZ5PDSspRbCrQg0O9KIMTQ17rb19hYHUathC9JhfDVuCLpo4aviWaGe8qIGlU7ZPDQ9RK0EpUIMDr9E5pVwNH1G1gMog5UNqNbBLqJfPDEa3Hk4kjhpKG9BbcaOGXP7kTVeDJ7CWNIMaHNlN9BVXwwy63FV+2dUwkP7ayFDDrcGXTBw1sFtoVNyoQT3F+UZXgzdZf2PIBtTgxEWUx9UwQmuyyA1yq2EZVctP0szQ8JvgSyaQGkZTu7hRA2tKL+hqeENQS5pBDc5kUVeuhjQa5i6/5Go4WZcWLGueRNVv3xpiyQRSw9tU/3TcqKE3KboaeoqbRYYanHiFzudqaObryzBs5FYDS6csxvasPRJywQRSww9E2+JGDQuobrGmhgvV82MBUIMT24m+LfLur0kr3eWXXQ0vU6MSqVp54jSmOXGjhoPJ9B+uhq+IdohKgRocaUKvFHnXEf3kMr/kavg5iT6VTg130INxowbmoXFcDVOoqbAUqMGRbnRfkXc+nSkMazmQXA3sehojnRrGU+v4UcNoasnVcAc9ICwFanDkJbqwyPs4/dlldunVMJ7+JJ0a/kW1D8WNGj6klINe7291aJGwFKjBEf6mqren0b6mC2RXg3ottlM2NewjWhM3aig6kxZ5vWW93NmAGhwpbUz53r/SOJfZpVdDaRPKlU0N7Hc0NW7UwG6jB7zeUdRaXArU4EwGZXubUOhVOCC7GlgvukM6NXSkXvGjhsl0mdfbnP5PXArU4MwLdMmPybTWbXbp1bCIztgrmxqeoD/Hjxo2Eq3flkxrxKVADc5sIHqDKPi7QUGQXg0natF82dSwgmrsiRs1lJ5PU6ZTAwcDQA3OnG5Ed9G5bnNDDeq1bLZsajiURAVxowbWndK60d0OpUANQUij6nST69xQwwt03gHJ1MAuoUnxo4ZnqUYtvRNfAVBDEIYQUUvHrxMKqOFbohYDVodaKqHUUPQXuqB/+FXrq0YNC8/gb8bWe0tcCtTgzIRkHrmm611ml14Ne6/l8Uu633EP00kkNXg92nvomY5HjgNVoobtNfX2NGqI342FGhx5x2iJ5EKXh4b0amhnBHB88MUSSQ23G195VJj5qkQNQ33NcA0SlgI1ONLWF7nZ7vLLroaNvvg1Cn7akEBq2Ob7yvUcjw8xVaKGm31bK67zBDU4Ut8XuX+4yy+7Gmb7m40VvvPrJ4HUML+cLeUGUCVq8P/3tRSWAjU4UscXuQHu8suuhnz/cRK8Se4EUsNc/1feGF7GKlHDAN/G9hWWAjU48hdf5Ka7yy+7Gtb64lc3+E25BFKD/xrqjNDPbC1UiRo2pOgbm/y5sBSowRHfCXGjchzhImRXQ6nHCODg4MvZ1FCycFjX+8dv0tJDFY0snj6+5gOjq5upI2wlxIwaWCvjK4fbF2LVPLzM09yQ8qK4FKjBkdL++n/eBy7zV5Ya9peE4pj3aMhlHDnqPe4y59YLtQC2DZF/m0UNpWOUHk+N7ahoD9szOw3mjFWTm+5VlLT5fOLudHsT1bGjhp1N9ft6x8PMV0VVntb3vd7TZ51DKVBDEJZ0u/qmYTvd5q4sNWw/GAqv1xtymSCZXWfdMaZds7um7Aux1Lq25u/zoTKmkLFdmek7GTuhPOObfOLe0T8dm6V8oSYnPGWPQeyogR158tZmqdPC7tSoitTg6w5XCNQQDN7npWtkv6DghP9S9gRlOx+8oyxU5yj+33etwpvo7JvH2Ob0gMY6Y0gNcdPnpQ7U4BaoodLV0C9D243XKrmMrVY+9E1eq+xRP/tPZaVDAxv/hxqsQA1QA0s8NXy3Sxu8zM8aFijzx3TNfvRrdfx499F7js9SPmerOwc2VwY1WIEaoAaWeGrQ2dg5Qw3ePxWl75NDU1OXqFM2ZCpK6lx2qs8C83Kn1nLy+xWHzW/eQ+FnKg+/eI+Fn+kF8/0TqAFqYFADE6mhZHHH1I/V4ehU3tbxpoyMfXw7/rP8R8be62HZ837xcLJ7eeOcSRNMXwpqgBoY1MAEatiUo2R/aRp/VVnsS/6aWcDYvwd2GfOtUf7NnL69XDw+ieSpTfByXRQMNUANdqAGuxqKZ6R2mldonrJO8VfKmT3gNJuvPP5qTvr3pgVwr8EK1AA1sMRTQ+mTyjDjFys5phviSyXfmOnNWMeKOqpjRf3MxxLUYAVqgBpY4qnhPeU53x55OE2vET3f/wxzyhjGdisb1NTUHFMeqMEK1AA1sIRTQ2mfLmW71jjl3+rnts7Zxi71fdp29TfpOFO96uj/pCkT1GAFaoAaWMKp4ZByzxCdJYzty1QenDw6rdMXxsxxk/nnG8pTcwd2/M6UCWqwAjVADSzh1PC14uNVdWz/C30ycqbsN+Z92VFLlS7N8T+h0IEarEANUANLODW4AmqwAjVADQxq4EANVqAGqIFBDRyowcpHt882MzM3d9ZsMbNyc2c6zJodZFZebr7TrJdyX3Ge9bLTrOm2WYMiV8Ngp3X5UeMSchlH8nPz3Gd+Jfel0AvdGrkaQn+/GbnT3X+N6bkz3Gee5rw3+Hk2cjWkhb9lEf20wXAVr75RVcNXoywMzcoaOUrMiKysYQ6zRmZlDXGYNapH1oNOs7KzBjnN6pk1wGlW76wc64Q3Io3BXKdVlTEkKyv0Qk4MzurhPvPArOxyLGVvsShcTpdjHf2z+rr/Gn2z+rvPHPCTi3DoxL38rHexZRH9tMHok/WAi1zvmL5OxGqwsd3jcTp3O+Dx7HGYVezxfOVU4l89nzrNSvUsdZqV5ZnrNGuQ5yWnWRXHRo/H6UIrNB972rlf82JPR/eZo8ozngjOz8Z4nDpFLAc5Hpdt7lY4Kz3tK6bgIZ6pEZYANVQOUAPUIAJq4EANboEaoIZwgRqcZkENPqAGqMEVUEPlADVADSIkUsPxggKnygsnCwqc6hqcLig46lTiqgLHJ+afFPzsNGttwQ9Os74o+M5pVsVxpKDAfeYDBR+5z7ynwFGtlczWgs3uM28uEPexXi7WV8VPXi72F3xcMQVvKNgeYQnRVgMAICGAGgAAAqAGAIAAqAEAICDqavhR2Sacbu552MbxaQPv6TMxoJ8wHwe6PCuabO6+2M63EzK7jP4icHqh/zX8gU5rqyic4hKaIJELTYjYVi6uY5A4IbCxbFDGfVMq5AUr9/ubj6irIU+8SZaeh62cuF8ZNGm40nGHuEA1p1ANpu6L7axNTx/5WIYSeO+3aLBOjjLa+RtUDA5xCU2QyIUmRGwrGbcxSKAQWMlXOj/aX7m/HK/Gho3r/c1PdNVwdNOLiniTzD0P28jXWtJZrowUl/mOIlSDqftiO6fu7bqdsd1dujq+6D3z7sDNqEic4xKaIJELTYjYViYRxCBRQmBnX2r2Yb6B+aEXDY9I9jc/0VVDNj9XF26SuedhGwMztAYZsjJOizL+kPEPoRpM3Rfb+Uh5lw8WjdnpsMA3qe84zKkgnOMSmiCRC03w2FYqEcQgUUJgZ47WRvXpzHsd2zFxSST7m5/oqmH9Z5+NFW+SuedhG4PHa4McpTBglnqVOTh7g1ANpu6L7TySGthVqZmifg+5r5noCue4hCZI5EITNLaVSwQxSJQQ2BmUqlX0e06JoCqYkEj2Nz9Rv9fwoniTzD0PC/kufbBo8mupG7YL1WDqvthO7/vYlrdnrXLcFd5SIq0o5gKHuIQmZOTKUYQ4tpWO2xgkUAgsdNfvob8luCsWMa73Nz+VpQYdvefhQLbmjU/vtUs0I206E6vB3H2xjbsH5PETql4OzZOc6PqUeEaFEuFP5RS50DjGtvKJLAYJEQIzJal6BzfLlfeiX3h8qcHX83Agy9QjebLgGU5h3/4nHdRg6b7YwjFF6b7q2MEFaT3F5w2vpu522sIKJKKfyjlyoXGKbRUQSQwSJARmjijDtOFq5bXoFx5XarD3PGym9NdVGb0Cj+S8tG3MQQ0Gpu6LfRQqyjo+nKqsEOUo7DzeubiKI5KfKljkQuMQ2yogghgkSgjMlKQO0IbLlUXRLzyO1BDY87CNWYH3FTcpc1gINZi6L/bTqZNx10r4Ju6KiriyC437nypk5EIjiG1V4DoGiRMCC5k9tMHbSgQv1joRP2ow9TxsY/so/XbB+4E1WpY4V14M7L64jL6Z2mCDkida39Aujo3XVySufyrnyIUmSGyrArcxSKAQWBiYprVt8rzisp5nMOJHDaaeh20cUfQGPvKVNfZZX0zkjFN6TZxpnxXYfXEZeYrWVsMCrRdTOz8EOwepQFz/VM6RC02Q2FYFbmOQQCGw8LrC2/gvzcosjn7ZcaMGS8/DNoYon6if397TzaE2gviCwt59sYmdyohjjO3o0lV0Q3uRstxpQyoU1/+YQSIXmlCxrVxcxiCRQmBhb2qOuvcujH5tSBZHarD0PGxjR0dl2OSHUtM/cShRrAZ798Vm/qlkPjE2PX2VqLRHFMfmnyoUtz9VsMiFJlRsKxeXMUikEFiZofTOHavVlo46caMGa8/DNvZM7JvRf6LjE0WH25DW7ostlC4Zl9nzCWGbX0UZXSu5JqSB258qaORCEyK2lYvLGCRSCKyULh2YMTCvQh6rxqAaAACJANQAABAANQAABEANAAABUAMAQADUAAAQADUAAARADQAAAVADAEAA1AAAEAA1AAAEQA0AAAFQAwBAANQAABAANQAABEANAAABUAMAQADUAAAQADUAAARADQAAAVADAEAA1AAAEAA1AAAEQA0AAAFQAwBAANQAABAANQAABEANAAABUAMAQADUAAAQADUAAARADQAAAVADAEAA1AAAEAA1AAAEQA0AAAFQAwBAANQAABAANQAABEANAAABUAMAQADUAAAQADUAAARADQAAAVADAEAA1AAAEAA1AAAEQA0AAAFQAwBAANQAABAANUjFTzmeuue2GnckrEz9aUf0NoA06l7/6G9RKxNUCFCDTKyoTVdm3HYBnfVVOLmiq4Y6HTp0uO3aanRdcdQKBRUB1CAR3sbV3lQHpybS1SVhZIuuGq7WhtsvpWejViioCKAGiXiLHtATd9HmMLJVhBrYPEqPWqGgIoAaJGI8TdETczt8rH5+3/fSWo3bzOMTRtPxyS3q/+1ttrBtvYvGnGLs0g4Hezdu2H4Rn2moYUa7huel/TfCTfCrYQ15GDv5SIu6V3TbzsfNKxxOJ2ZfU+viweHdEgHRBWqQiFy64UDZ2L7fUYvM66tTPuNq6Nllaf45Kf2umrOkNU1Wj9SWV7TJe+46epIZaijtSE3u+Vu1anMi2wS/GiZRJjt6DTXt1DK5zvvMusLh9OifX1/WHecVVQrUEN/c1zAIu20LH2xItXq9X2iMPUdPq5/fJLVjXA38MJxGjQ4ytpfUKZfS7eq5w2+tauwy1DCb7lUzbji7zh77JtygrmkITzRRE5PU4S983VwhXzf8nX1hQw37p59J77KR1E9dyfLqlxVbVzicmqnrKm2efDyKkQJhAjXEN3dTEHbZl97SWp1aq/2kvXxk5dRf1M9T9fmxOpreUz8/oWw+4+yr+ZH6OU8W0AhDDc0a/Mon5FKuvdAr1DL78cSZauIxdXiYr5ufi2ymOvaFf/Jv3CBWWvtc7Qlmb1psXeFwmqZPj949DhA2UEN8s7EgCIWBy+/Iy2hIVP0JfezUltnppKthnfr5GT3Mp57H1VCzlCdP0J26GopTLp/GGUn97UV+qq7pa55YqSa+V4fFfN385OJ4wUr7wvrDyw53DvmQsR8oQ5s2X7uCMa1wOH3C09G8/QnCBmqQiCWr+OfpfQeH0WvqUTj6uhrUJL22rgb+n/0ZjeULaGpoomep/Sf9EP3O/2/fPaJN8N9rUPmUBmrD/6hnEJYVDqctPAk1VClQg0RcXPu0njjIbycodNesPboIBGqoptV88NIt+iH6a9JtUdkEsxp2GWcNb/KbHuYVQg2xANQgEWn0tp5YS2mqHlrw5IkaYjUQf2zAXqEBxiH6+3O0y5P1T4dVkTIAsxpOn3GeVmZfete6QqghFoAaJGJl8llz+RX9lmtoDjue/Cf1HKLkAbqECdVw9c+MbTo/5WvjEJ1M/YsZO9Csxv6INsGsBlUBA9VNWFH9kpPWFUINsQDUIBPPpNBZLW6+nOhBdaQjXdWv90V/bE537hOoodFlDZRbamkTtEO0uA39ods99bUnDxFgUcORq+nyzDbJZ65g1hVCDbEA1CAVW7Ob129wXXftOeHRoU3PvPGRwq0d2+wVqOHSw70ua9COv3JhHKIlE1vXu+DO1RFugEUNrPDhG+tc3lWvDWlaIdQQC0ANwM7RbfxIreSVClZYtE3w9BVUFlADEBELagBVCtQAREAN0gM1ABFQg7Dc7GoAAACRSURBVPRADQAAAVADAEAA1AAAEAA1AAAEQA0AAAFQAwBAANQAABAANQAABEANAAABUAMAQADUAAAQADUAAARADQAAAVADAEAA1AAAEAA1AAAEQA0AAAFQAwBAANQAABAANQAABEANAAABUAMAQADUAAAQADUAAARADQAAAVADAEAA1AAAEAA1AAAEQA0AAAH/D6vGEyFAaK//AAAAAElFTkSuQmCC" 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" width="60%" style="display: block; margin: auto;" /></p>
</div>
</div>
<div id="effect-of-the-post-stratification-variable-on-preference-for-cats" class="section level1">
<h1>Effect of the post-stratification variable on preference for cats</h1>
<p>Secondly; we consider the evidence of different proportions across different levels of a post-stratification variable; which we should consider for each of the post-stratification variables. Here we break down the proportion of individuals who would prefer a cat (<em>y-axis</em>) by different levels (<em>x-axis</em>) of the post-stratification variable (<em>horizontal panels</em>). We can see from this figure that there appears to be differences in cat preference for the different levels of post-stratification variables. Given the previous figure, which suggested that the sample was different to the population in the share of different levels of theses variables, this should suggest that using the sample to estimate cat preference may not give accurate estimates of cat preference in the population.</p>
<p><img 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" width="60%" style="display: block; margin: auto;" /></p>
<div id="interaction-effect" class="section level2">
<h2>Interaction effect</h2>
<p>Thirdly, we demonstrate visually that there is an interaction between age and gender and compare to a case where there is no interaction. Here a simulated interaction effect between age (<em>x-axis</em>) and gender (<em>color</em>), right panel, is contrasted with no interaction effect (<em>left panel</em>). While both panels demonstrate a difference between the genders on the outcome variable (<em>y-axis</em>), only the second panel shows this difference changing with the variable on the x-axis.</p>
<p><img 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" width="60%" style="display: block; margin: auto;" /></p>
</div>
<div id="design-effect" class="section level2">
<h2>Design effect</h2>
<p>Lastly we look at the difference in cat preference between states, which will form the basis for the multi-level component of our analysis. Participants were randomly selected from particular states. Plotting the state (<em>x-axis</em>) against the overall proportion of participants who prefer cats (<em>y-axis</em>) demonstrates state differences. The downward slope is because we ordered the x-axis by the proportion of cat preference for ease of viewing. We also include second plot with a horizontal line to represent the overall preference for cats in the total population, according to the sample.</p>
<p><img 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" width="60%" style="display: block; margin: auto;" /></p>
</div>
</div>
<div id="mrp-with-rstanarm" class="section level1">
<h1>MRP with rstanarm</h1>
<p>From visual inspection, it appears that different levels of post-stratification variable have different preferences for cats. Our survey also appears to have sampling bias; indicating that some groups were over/under sampled relative to the population. The net effect of this is that we could not make good population level estimates of cat preference straight from our sample. Our aim is to infer the preference for cats in the <em>population</em> using the post-stratification variables to account for systematic differences between the sample and population. Using rstanarm, this becomes a simple procedure.</p>
<p>The first step is to use a multi-level logistic regression model to predict preference for cats in the sample given the variables that we will use to post-stratify. Note that we actually have more rows in the post-stratification matrix than the we have observed units, so there are some cells in the poststrat matrix that we don’t observe. We can use a multi-level model to partially pool information across the different levels within each variable to assist with this. In the model described below, we use a fixed intercept for gender, and hierarchically modeled varying intercepts for each of the other factors.</p>
<p>Let <span class="math inline">\(\theta_{j}\)</span> denote the preference for cats in the <span class="math inline">\(j\)</span>th poststratification cell. The non-hierarchical part of the model can be written as</p>
<p><span class="math display">\[\theta_j= logit^{-1}(X_{j}\beta),\]</span></p>
<p>where here <span class="math inline">\(X\)</span> only contains an indicator for male or female and an interaction term with age.</p>
<p>Adding the varying intercepts for the other variables the model becomes</p>
<p><span class="math display">\[
\theta_j = logit^{-1}(
X_{j}\beta 
+ \alpha_{\rm state[j]}^{\rm state}
+ \alpha_{\rm age[j]}^{\rm age}
+ \alpha_{\rm eth[j]}^{\rm eth}
+ \alpha_{\rm inc[j]}^{\rm inc}
)
\]</span> with</p>
<p>$$ <span class="math display">\[\begin{align*}
\alpha_{\rm state[j]}^{\rm state} &amp; \sim N(0,\sigma^{\rm state}) \\
\alpha_{\rm age[j]}^{\rm age} &amp; \sim N(0,\sigma^{\rm age})\\
\alpha_{\rm eth[j]}^{\rm eth} &amp; \sim N(0,\sigma^{\rm eth})\\
\alpha_{\rm inc[j]}^{\rm inc} &amp;\sim N(0,\sigma^{\rm inc}) \\
\end{align*}\]</span></p>
<p>$$</p>
<p>Each of <span class="math inline">\(\sigma^{\rm state}\)</span>, <span class="math inline">\(\sigma^{\rm age}\)</span>, <span class="math inline">\(\sigma^{\rm eth}\)</span>, and <span class="math inline">\(\sigma^{\rm inc}\)</span> are estimated from the data (in this case using rstanarm’s default priors), which is beneficial as it means we share information between the levels of each variable and we can prevent levels with with less data from being too sensitive to the few observed values. This also helps with the levels we don’t observe at all it will use information from the levels that we do observe. For more on the benefits of this type of model, see <span class="citation">Gelman and others (2005)</span>, and see <span class="citation">Ghitza and Gelman (2013)</span> and <span class="citation">Si et al. (2017)</span> for more complicated extensions that involve deep interactions and structured prior distributions.</p>
<p>Here is the model specified using the <code>stan_glmer()</code> function in rstanarm, which uses the same formula syntax as the <code>glmer()</code> function from the lme4 package:</p>
<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb12-1" title="1">fit &lt;-<span class="st"> </span><span class="kw">stan_glmer</span>(</a>
<a class="sourceLine" id="cb12-2" title="2">  cat_pref <span class="op">~</span><span class="st"> </span><span class="kw">factor</span>(male) <span class="op">+</span><span class="st"> </span><span class="kw">factor</span>(male) <span class="op">*</span><span class="st"> </span><span class="kw">factor</span>(age) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb12-3" title="3"><span class="st">    </span>(<span class="dv">1</span> <span class="op">|</span><span class="st"> </span>state) <span class="op">+</span><span class="st"> </span>(<span class="dv">1</span> <span class="op">|</span><span class="st"> </span>age) <span class="op">+</span><span class="st"> </span>(<span class="dv">1</span> <span class="op">|</span><span class="st"> </span>eth) <span class="op">+</span><span class="st"> </span>(<span class="dv">1</span> <span class="op">|</span><span class="st"> </span>income),</a>
<a class="sourceLine" id="cb12-4" title="4">  <span class="dt">family =</span> <span class="kw">binomial</span>(<span class="dt">link =</span> <span class="st">&quot;logit&quot;</span>),</a>
<a class="sourceLine" id="cb12-5" title="5">  <span class="dt">data =</span> sample</a>
<a class="sourceLine" id="cb12-6" title="6">)</a></code></pre></div>
<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb13-1" title="1"><span class="kw">print</span>(fit)</a></code></pre></div>
<pre><code>stan_glmer
 family:       binomial [logit]
 formula:      cat_pref ~ factor(male) + factor(male) * factor(age) + (1 | state) + 
       (1 | age) + (1 | eth) + (1 | income)
 observations: 1200
------
                           Median MAD_SD
(Intercept)                 0.7    0.9  
factor(male)1              -0.3    0.5  
factor(age)2               -0.2    1.0  
factor(age)3               -0.4    0.8  
factor(age)4                0.7    0.8  
factor(age)5                0.3    0.8  
factor(age)6                1.0    0.8  
factor(age)7                0.9    0.8  
factor(male)1:factor(age)2  0.2    1.7  
factor(male)1:factor(age)3 -0.8    0.8  
factor(male)1:factor(age)4 -1.3    0.7  
factor(male)1:factor(age)5 -1.0    0.7  
factor(male)1:factor(age)6 -0.6    0.6  
factor(male)1:factor(age)7 -1.1    0.6  

Error terms:
 Groups Name        Std.Dev.
 state  (Intercept) 1.11    
 age    (Intercept) 1.06    
 eth    (Intercept) 0.89    
 income (Intercept) 0.76    
Num. levels: state 50, age 7, eth 3, income 3 

------
* For help interpreting the printed output see ?print.stanreg
* For info on the priors used see ?prior_summary.stanreg</code></pre>
<p>As a first pass to check whether the model is performing well, note that there are no warnings about divergences, failure to converge or tree depth. If these errors do occur, more information on how to alleviate them is provided <a href="https://mc-stan.org/rstanarm/articles/rstanarm.html#step-3-criticize-the-model">here</a>.</p>
<div id="population-estimate" class="section level2">
<h2>Population Estimate</h2>
<p>From this we get a summary of the baseline log odds of cat preference at the first element of each factor (i.e., male = 0, age = 1) for each state, plus estimates on variability of the intercept for state, ethnicity, age and income. While this is interesting, currently all we have achieved is a model that predicts cat preference given a number of factor-type predictors in a sample. What we would like to do is estimate cat preference in the population by accounting for differences between our sample and the population. We use the <code>posterior_linpred()</code> function to obtain posterior estimates for cat preference given the proportion of people in the <em>population</em> in each level of the factors included in the model.</p>
<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb15-1" title="1">posterior_prob &lt;-<span class="st"> </span><span class="kw">posterior_linpred</span>(fit, <span class="dt">transform =</span> <span class="ot">TRUE</span>, <span class="dt">newdata =</span> poststrat)</a>
<a class="sourceLine" id="cb15-2" title="2">poststrat_prob &lt;-<span class="st"> </span>posterior_prob <span class="op">%*%</span><span class="st"> </span>poststrat<span class="op">$</span>N <span class="op">/</span><span class="st"> </span><span class="kw">sum</span>(poststrat<span class="op">$</span>N)</a>
<a class="sourceLine" id="cb15-3" title="3">model_popn_pref &lt;-<span class="st"> </span><span class="kw">c</span>(<span class="dt">mean =</span> <span class="kw">mean</span>(poststrat_prob), <span class="dt">sd =</span> <span class="kw">sd</span>(poststrat_prob))</a>
<a class="sourceLine" id="cb15-4" title="4"><span class="kw">round</span>(model_popn_pref, <span class="dv">3</span>)</a></code></pre></div>
<pre><code> mean    sd 
0.567 0.024 </code></pre>
<p>We can compare this to the estimate we would have made if we had just used the sample:</p>
<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb17-1" title="1">sample_popn_pref &lt;-<span class="st"> </span><span class="kw">mean</span>(sample<span class="op">$</span>cat_pref)</a>
<a class="sourceLine" id="cb17-2" title="2"><span class="kw">round</span>(sample_popn_pref, <span class="dv">3</span>)</a></code></pre></div>
<pre><code>[1] 0.681</code></pre>
<p>We can also add it to the last figure to graphically represent the difference between the sample and population estimate.</p>
<div class="sourceCode" id="cb19"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb19-1" title="1">compare2 &lt;-<span class="st"> </span>compare2 <span class="op">+</span></a>
<a class="sourceLine" id="cb19-2" title="2"><span class="st">  </span><span class="kw">geom_hline</span>(<span class="dt">yintercept =</span> model_popn_pref[<span class="dv">1</span>], <span class="dt">colour =</span> <span class="st">'#2ca25f'</span>, <span class="dt">size =</span> <span class="dv">1</span>) <span class="op">+</span></a>
<a class="sourceLine" id="cb19-3" title="3"><span class="st">  </span><span class="kw">geom_text</span>(<span class="kw">aes</span>(<span class="dt">x =</span> <span class="fl">5.2</span>, <span class="dt">y =</span> model_popn_pref[<span class="dv">1</span>] <span class="op">+</span><span class="st"> </span><span class="fl">.025</span>), <span class="dt">label =</span> <span class="st">&quot;MRP&quot;</span>, <span class="dt">colour =</span> <span class="st">'#2ca25f'</span>)</a>
<a class="sourceLine" id="cb19-4" title="4"><span class="kw">bayesplot_grid</span>(compare, compare2, </a>
<a class="sourceLine" id="cb19-5" title="5">               <span class="dt">grid_args =</span> <span class="kw">list</span>(<span class="dt">nrow =</span> <span class="dv">1</span>, <span class="dt">widths =</span> <span class="kw">c</span>(<span class="dv">8</span>, <span class="dv">1</span>)))</a></code></pre></div>
<p><img src="data:image/png;base64,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" width="60%" style="display: block; margin: auto;" /></p>
<p>As this is simulated data, we can look directly at the preference for cats that we simulated from to consider how good our estimate is.</p>
<div class="sourceCode" id="cb20"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb20-1" title="1">true_popn_pref &lt;-<span class="st"> </span><span class="kw">sum</span>(true_popn<span class="op">$</span>cat_pref <span class="op">*</span><span class="st"> </span>poststrat<span class="op">$</span>N) <span class="op">/</span><span class="st"> </span><span class="kw">sum</span>(poststrat<span class="op">$</span>N)</a>
<a class="sourceLine" id="cb20-2" title="2"><span class="kw">round</span>(true_popn_pref, <span class="dv">3</span>)</a></code></pre></div>
<pre><code>[1] 0.561</code></pre>
<p>Which we will also add to the figure. <img src="data:image/png;base64,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" width="60%" style="display: block; margin: auto;" /></p>
<p>Our MRP estimate is barely off, while our sample estimate is off by more than 10 percentage points. This indicates that using MRP helps to make estimates for the population from our sample that are more accurate.</p>
</div>
<div id="estimates-for-states" class="section level2">
<h2>Estimates for states</h2>
<p>One of the nice benefits of using MRP to make inference about the population is that we can change the population of interest. In the previous paragraph we inferred the preference for cats in the whole population. We can also infer the preference for cats in a single state. In the following code we post-stratify for each state in turn. Note that we can reuse the predictive model from the previous step and update for different population demographics. This is particularly useful for complicated cases or large data sets where the model takes some time to fit.</p>
<p>As before, first we use the proportion of the population in each combination of the post-stratification groups to estimate the proportion of people who preferred cats in the population, only in this case the population of interest is the state.</p>
<div class="sourceCode" id="cb22"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb22-1" title="1">state_df &lt;-<span class="st"> </span><span class="kw">data.frame</span>(</a>
<a class="sourceLine" id="cb22-2" title="2">  <span class="dt">State =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">50</span>,</a>
<a class="sourceLine" id="cb22-3" title="3">  <span class="dt">model_state_sd =</span> <span class="kw">rep</span>(<span class="op">-</span><span class="dv">1</span>, <span class="dv">50</span>),</a>
<a class="sourceLine" id="cb22-4" title="4">  <span class="dt">model_state_pref =</span> <span class="kw">rep</span>(<span class="op">-</span><span class="dv">1</span>, <span class="dv">50</span>),</a>
<a class="sourceLine" id="cb22-5" title="5">  <span class="dt">sample_state_pref =</span> <span class="kw">rep</span>(<span class="op">-</span><span class="dv">1</span>, <span class="dv">50</span>),</a>
<a class="sourceLine" id="cb22-6" title="6">  <span class="dt">true_state_pref =</span> <span class="kw">rep</span>(<span class="op">-</span><span class="dv">1</span>, <span class="dv">50</span>),</a>
<a class="sourceLine" id="cb22-7" title="7">  <span class="dt">N =</span> <span class="kw">rep</span>(<span class="op">-</span><span class="dv">1</span>, <span class="dv">50</span>)</a>
<a class="sourceLine" id="cb22-8" title="8">)</a>
<a class="sourceLine" id="cb22-9" title="9"></a>
<a class="sourceLine" id="cb22-10" title="10"><span class="cf">for</span>(i <span class="cf">in</span> <span class="dv">1</span><span class="op">:</span><span class="kw">length</span>(<span class="kw">levels</span>(<span class="kw">as.factor</span>(poststrat<span class="op">$</span>state)))) {</a>
<a class="sourceLine" id="cb22-11" title="11">  poststrat_state &lt;-<span class="st"> </span>poststrat[poststrat<span class="op">$</span>state <span class="op">==</span><span class="st"> </span>i, ]</a>
<a class="sourceLine" id="cb22-12" title="12">    posterior_prob_state &lt;-<span class="st"> </span><span class="kw">posterior_linpred</span>(</a>
<a class="sourceLine" id="cb22-13" title="13">    fit,</a>
<a class="sourceLine" id="cb22-14" title="14">    <span class="dt">transform =</span> <span class="ot">TRUE</span>,</a>
<a class="sourceLine" id="cb22-15" title="15">    <span class="dt">draws =</span> <span class="dv">1000</span>,</a>
<a class="sourceLine" id="cb22-16" title="16">    <span class="dt">newdata =</span> <span class="kw">as.data.frame</span>(poststrat_state)</a>
<a class="sourceLine" id="cb22-17" title="17">  )</a>
<a class="sourceLine" id="cb22-18" title="18">  poststrat_prob_state &lt;-<span class="st"> </span>(posterior_prob_state <span class="op">%*%</span><span class="st"> </span>poststrat_state<span class="op">$</span>N) <span class="op">/</span><span class="st"> </span><span class="kw">sum</span>(poststrat_state<span class="op">$</span>N)</a>
<a class="sourceLine" id="cb22-19" title="19">  <span class="co">#This is the estimate for popn in state:</span></a>
<a class="sourceLine" id="cb22-20" title="20">  state_df<span class="op">$</span>model_state_pref[i] &lt;-<span class="st"> </span><span class="kw">round</span>(<span class="kw">mean</span>(poststrat_prob_state), <span class="dv">4</span>)</a>
<a class="sourceLine" id="cb22-21" title="21">  state_df<span class="op">$</span>model_state_sd[i] &lt;-<span class="st"> </span><span class="kw">round</span>(<span class="kw">sd</span>(poststrat_prob_state), <span class="dv">4</span>)</a>
<a class="sourceLine" id="cb22-22" title="22">  <span class="co">#This is the estimate for sample</span></a>
<a class="sourceLine" id="cb22-23" title="23">  state_df<span class="op">$</span>sample_state_pref[i] &lt;-<span class="st"> </span><span class="kw">round</span>(<span class="kw">mean</span>(sample<span class="op">$</span>cat_pref[sample<span class="op">$</span>state <span class="op">==</span><span class="st"> </span>i]), <span class="dv">4</span>)</a>
<a class="sourceLine" id="cb22-24" title="24">  <span class="co">#And what is the actual popn?</span></a>
<a class="sourceLine" id="cb22-25" title="25">  state_df<span class="op">$</span>true_state_pref[i] &lt;-</a>
<a class="sourceLine" id="cb22-26" title="26"><span class="st">    </span><span class="kw">round</span>(<span class="kw">sum</span>(true_popn<span class="op">$</span>cat_pref[true_popn<span class="op">$</span>state <span class="op">==</span><span class="st"> </span>i] <span class="op">*</span><span class="st"> </span>poststrat_state<span class="op">$</span>N) <span class="op">/</span></a>
<a class="sourceLine" id="cb22-27" title="27"><span class="st">            </span><span class="kw">sum</span>(poststrat_state<span class="op">$</span>N), <span class="dt">digits =</span> <span class="dv">4</span>)</a>
<a class="sourceLine" id="cb22-28" title="28">  state_df<span class="op">$</span>N[i] &lt;-<span class="st"> </span><span class="kw">length</span>(sample<span class="op">$</span>cat_pref[sample<span class="op">$</span>state <span class="op">==</span><span class="st"> </span>i])</a>
<a class="sourceLine" id="cb22-29" title="29">}</a>
<a class="sourceLine" id="cb22-30" title="30"></a>
<a class="sourceLine" id="cb22-31" title="31">state_df[<span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">3</span><span class="op">:</span><span class="dv">6</span>)]</a></code></pre></div>
<pre><code>   State model_state_pref sample_state_pref true_state_pref  N
1      1           0.5036            0.5000          0.5966  2
2      2           0.6695            0.8571          0.5315  7
3      3           0.4441            0.5385          0.3803 13
4      4           0.7617            0.8846          0.6590 26
5      5           0.4239            0.5200          0.4439 50
6      6           0.6877            0.8947          0.6982 19
7      7           0.7139            0.8250          0.6386 40
8      8           0.6931            0.9167          0.7850 12
9      9           0.7207            0.8571          0.6788 14
10    10           0.6158            0.7727          0.5966 44
11    11           0.7252            0.8824          0.7850 17
12    12           0.3861            0.4737          0.4012 57
13    13           0.7122            1.0000          0.7690  5
14    14           0.6068            0.6818          0.5966 22
15    15           0.2060            0.2000          0.1181 15
16    16           0.3785            0.4706          0.3599 34
17    17           0.2144            0.1538          0.2169 13
18    18           0.3417            0.0000          0.2169  2
19    19           0.4698            0.6000          0.4656  5
20    20           0.7905            0.8974          0.7850 39
21    21           0.3829            0.5250          0.3599 40
22    22           0.7596            0.9167          0.8755 12
23    23           0.6009            0.7333          0.5751 30
24    24           0.6299            1.0000          0.7690  2
25    25           0.7324            0.8261          0.8002 23
26    26           0.7621            0.8704          0.7524 54
27    27           0.2595            0.3500          0.2657 20
28    28           0.5741            0.6667          0.4656  3
29    29           0.5322            0.6757          0.5095 37
30    30           0.5225            0.5946          0.5315 37
31    31           0.6079            0.7143          0.7350  7
32    32           0.4243            0.5000          0.3399 42
33    33           0.6094            0.7353          0.6178 68
34    34           0.5787            0.7200          0.4656 25
35    35           0.5959            0.7200          0.6590 25
36    36           0.5388            0.6250          0.5751  8
37    37           0.6981            0.8571          0.8855  7
38    38           0.2932            0.3750          0.3205 48
39    39           0.7251            0.8824          0.8533 17
40    40           0.3238            0.3684          0.2657 19
41    41           0.7636            0.9286          0.6982 14
42    42           0.6760            0.8235          0.5751 34
43    43           0.5296            0.6667          0.5315  6
44    44           0.6516            0.8000          0.4439 15
45    45           0.6648            0.8077          0.5315 26
46    46           0.6502            0.7750          0.6788 40
47    47           0.7263            0.8621          0.8002 29
48    48           0.5143            0.6545          0.4224 55
49    49           0.2351            0.2500          0.2487  8
50    50           0.8195            1.0000          0.8146 13</code></pre>
<div class="sourceCode" id="cb24"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb24-1" title="1">state_df<span class="op">$</span>State &lt;-<span class="st"> </span><span class="kw">factor</span>(state_df<span class="op">$</span>State, <span class="dt">levels =</span> <span class="kw">levels</span>(sample<span class="op">$</span>state))</a></code></pre></div>
<p>Here we similar findings to when we considered the population as whole. While estimates for cat preference (in percent) using the sample are off by</p>
<div class="sourceCode" id="cb25"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb25-1" title="1"><span class="kw">round</span>(<span class="dv">100</span> <span class="op">*</span><span class="st"> </span><span class="kw">c</span>(</a>
<a class="sourceLine" id="cb25-2" title="2">  <span class="dt">mean =</span> <span class="kw">mean</span>(<span class="kw">abs</span>(state_df<span class="op">$</span>sample_state_pref<span class="op">-</span>state_df<span class="op">$</span>true_state_pref), <span class="dt">na.rm =</span> <span class="ot">TRUE</span>),</a>
<a class="sourceLine" id="cb25-3" title="3">  <span class="dt">max =</span> <span class="kw">max</span>(<span class="kw">abs</span>(state_df<span class="op">$</span>sample_state_pref<span class="op">-</span>state_df<span class="op">$</span>true_state_pref), <span class="dt">na.rm =</span> <span class="ot">TRUE</span>)</a>
<a class="sourceLine" id="cb25-4" title="4">))</a></code></pre></div>
<pre><code>mean  max 
  14   36 </code></pre>
<p>the MRP based estimates are much closer to the actual percentage,</p>
<div class="sourceCode" id="cb27"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb27-1" title="1"><span class="kw">round</span>(<span class="dv">100</span> <span class="op">*</span><span class="st"> </span><span class="kw">c</span>(</a>
<a class="sourceLine" id="cb27-2" title="2">  <span class="dt">mean =</span> <span class="kw">mean</span>(<span class="kw">abs</span>(state_df<span class="op">$</span>model_state_pref<span class="op">-</span>state_df<span class="op">$</span>true_state_pref)),</a>
<a class="sourceLine" id="cb27-3" title="3">  <span class="dt">max =</span> <span class="kw">max</span>(<span class="kw">abs</span>(state_df<span class="op">$</span>model_state_pref<span class="op">-</span>state_df<span class="op">$</span>true_state_pref))</a>
<a class="sourceLine" id="cb27-4" title="4">))</a></code></pre></div>
<pre><code>mean  max 
   6   21 </code></pre>
<p>and especially when the sample size for that population is relatively small. This is easier to see graphically, so we will continue to add additional layers to the previous figure. Here we add model estimates,represented by triangles, and the true population cat preference, represented as transparent circles.</p>
<p><img src="data:image/png;base64,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width="60%" style="display: block; margin: auto;" /></p>
</div>
</div>
<div id="other-formats" class="section level1">
<h1>Other formats</h1>
<div id="alternate-methods-of-modelling" class="section level2">
<h2>Alternate methods of modelling</h2>
<p>Previously we used a binary outcome variable. An alternative form of this model is to aggregate the data to the poststrat cell level and model the number of successes (or endorsement of cat preference in this case) out of the total number of people in that cell. To do this we need to create two n x 1 outcome variables, <code>N_cat_pref</code> (number in cell who prefer cats) and <code>N</code> (number in the poststrat cell).</p>
<div class="sourceCode" id="cb29"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb29-1" title="1"><span class="co"># not evaluated to avoid dependency on tidyverse</span></a>
<a class="sourceLine" id="cb29-2" title="2">sample_alt &lt;-<span class="st"> </span>sample <span class="op">%&gt;%</span></a>
<a class="sourceLine" id="cb29-3" title="3"><span class="st">  </span><span class="kw">group_by</span>(male, age, income, state, eth) <span class="op">%&gt;%</span></a>
<a class="sourceLine" id="cb29-4" title="4"><span class="st">  </span><span class="kw">summarise</span>(<span class="dt">N_cat_pref =</span> <span class="kw">sum</span>(cat_pref), <span class="dt">N =</span> <span class="kw">n</span>()) <span class="op">%&gt;%</span></a>
<a class="sourceLine" id="cb29-5" title="5"><span class="st">  </span><span class="kw">ungroup</span>()</a></code></pre></div>
<!-- ```{r, include=FALSE, eval=FALSE} -->
<!-- # not evaluated to avoid dependency on tidyverse -->
<!-- sample_alt <- sample %>% -->
<!--   group_by(male, age, income, state, eth) %>% -->
<!--   summarise(N_cat_pref = sum(cat_pref), N = n()) %>% -->
<!--   ungroup() -->
<!-- save(sample_alt, file = "mrp-files/sample_alt.rda", version = 2) -->
<!-- ``` -->
<p>We then can use these two outcome variables to model the data using the binomial distribution.</p>
<div class="sourceCode" id="cb30"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb30-1" title="1">fit2 &lt;-<span class="st"> </span><span class="kw">stan_glmer</span>(</a>
<a class="sourceLine" id="cb30-2" title="2">  <span class="kw">cbind</span>(N_cat_pref, N <span class="op">-</span><span class="st"> </span>N_cat_pref) <span class="op">~</span><span class="st"> </span><span class="kw">factor</span>(male) <span class="op">+</span><span class="st"> </span><span class="kw">factor</span>(male) <span class="op">*</span><span class="st"> </span><span class="kw">factor</span>(age) <span class="op">+</span><span class="st"> </span></a>
<a class="sourceLine" id="cb30-3" title="3"><span class="st">    </span>(<span class="dv">1</span> <span class="op">|</span><span class="st"> </span>state) <span class="op">+</span><span class="st"> </span>(<span class="dv">1</span> <span class="op">|</span><span class="st"> </span>age) <span class="op">+</span><span class="st"> </span>(<span class="dv">1</span> <span class="op">|</span><span class="st"> </span>eth) <span class="op">+</span><span class="st"> </span>(<span class="dv">1</span> <span class="op">|</span><span class="st"> </span>income),</a>
<a class="sourceLine" id="cb30-4" title="4">  <span class="dt">family =</span> <span class="kw">binomial</span>(<span class="st">&quot;logit&quot;</span>),</a>
<a class="sourceLine" id="cb30-5" title="5">  <span class="dt">data =</span> sample_alt,</a>
<a class="sourceLine" id="cb30-6" title="6">  <span class="dt">refresh =</span> <span class="dv">0</span></a>
<a class="sourceLine" id="cb30-7" title="7">)</a></code></pre></div>
<div class="sourceCode" id="cb31"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb31-1" title="1"><span class="kw">print</span>(fit2)</a></code></pre></div>
<pre><code>stan_glmer
 family:       binomial [logit]
 formula:      cbind(N_cat_pref, N - N_cat_pref) ~ factor(male) + factor(male) * 
       factor(age) + (1 | state) + (1 | age) + (1 | eth) + (1 | 
       income)
 observations: 940
------
                           Median MAD_SD
(Intercept)                 0.8    0.9  
factor(male)1              -0.4    0.5  
factor(age)2               -0.2    1.1  
factor(age)3               -0.5    0.9  
factor(age)4                0.7    0.8  
factor(age)5                0.3    0.8  
factor(age)6                1.0    0.8  
factor(age)7                0.8    0.8  
factor(male)1:factor(age)2  0.3    1.7  
factor(male)1:factor(age)3 -0.8    0.8  
factor(male)1:factor(age)4 -1.2    0.7  
factor(male)1:factor(age)5 -1.0    0.7  
factor(male)1:factor(age)6 -0.5    0.6  
factor(male)1:factor(age)7 -1.1    0.6  

Error terms:
 Groups Name        Std.Dev.
 state  (Intercept) 1.10    
 age    (Intercept) 1.04    
 eth    (Intercept) 0.88    
 income (Intercept) 0.72    
Num. levels: state 50, age 7, eth 3, income 3 

------
* For help interpreting the printed output see ?print.stanreg
* For info on the priors used see ?prior_summary.stanreg</code></pre>
<p>Like before, we can use the <code>posterior_linpred()</code> function to obtain an estimate of the preference for cats in the population.</p>
<div class="sourceCode" id="cb33"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb33-1" title="1">posterior_prob_alt &lt;-<span class="st"> </span><span class="kw">posterior_linpred</span>(fit2, <span class="dt">transform =</span> <span class="ot">TRUE</span>, <span class="dt">newdata =</span> poststrat)</a>
<a class="sourceLine" id="cb33-2" title="2">poststrat_prob_alt &lt;-<span class="st"> </span>posterior_prob_alt <span class="op">%*%</span><span class="st"> </span>poststrat<span class="op">$</span>N <span class="op">/</span><span class="st"> </span><span class="kw">sum</span>(poststrat<span class="op">$</span>N)</a>
<a class="sourceLine" id="cb33-3" title="3">model_popn_pref_alt &lt;-<span class="st"> </span><span class="kw">c</span>(<span class="dt">mean =</span> <span class="kw">mean</span>(poststrat_prob_alt), <span class="dt">sd =</span> <span class="kw">sd</span>(poststrat_prob_alt))</a>
<a class="sourceLine" id="cb33-4" title="4"><span class="kw">round</span>(model_popn_pref_alt, <span class="dv">3</span>)</a></code></pre></div>
<pre><code> mean    sd 
0.567 0.023 </code></pre>
<p>As we should, we get the same answer as when we fit the model using the binary outcome. The two ways are equivalent, so we can use whichever form is most convenient for the data at hand. More details on these two forms of binomial models are available <a href="https://mc-stan.org/rstanarm/articles/binomial.html">here</a>.</p>
</div>
</div>
<div id="appendix" class="section level1">
<h1>Appendix</h1>
<div id="examples-of-other-formulas" class="section level3">
<h3>Examples of other formulas</h3>
<p>The formulas for fitting so-called “mixed-effects” models in <strong>rstanarm</strong> are the same as those in the <strong>lme4</strong> package. A table of examples can be found in Table 2 of the vignette for the <strong>lme4</strong> package, available <a href="https://CRAN.R-project.org/package=lme4/vignettes/lmer.pdf">here</a>.</p>
</div>
<div id="code-to-simulate-the-data" class="section level3">
<h3>Code to simulate the data</h3>
<p>Here is the source code for the <code>simulate_mrp_function()</code>, which is based off of some code provided by Aki Vehtari.</p>
<div class="sourceCode" id="cb35"><pre class="sourceCode r"><code class="sourceCode r"><a class="sourceLine" id="cb35-1" title="1"><span class="kw">print</span>(simulate_mrp_data)</a></code></pre></div>
<pre><code>function(n) {
  J &lt;- c(2, 3, 7, 3, 50) # male or not, eth, age, income level, state
  poststrat &lt;- as.data.frame(array(NA, c(prod(J), length(J)+1))) # Columns of post-strat matrix, plus one for size
  colnames(poststrat) &lt;- c(&quot;male&quot;, &quot;eth&quot;, &quot;age&quot;,&quot;income&quot;, &quot;state&quot;,'N')
  count &lt;- 0
  for (i1 in 1:J[1]){
    for (i2 in 1:J[2]){
      for (i3 in 1:J[3]){
        for (i4 in 1:J[4]){
          for (i5 in 1:J[5]){
              count &lt;- count + 1
              # Fill them in so we know what category we are referring to
              poststrat[count, 1:5] &lt;- c(i1-1, i2, i3,i4,i5) 
          }
        }
      }
    }
  }
  # Proportion in each sample in the population
  p_male &lt;- c(0.52, 0.48)
  p_eth &lt;- c(0.5, 0.2, 0.3)
  p_age &lt;- c(0.2,.1,0.2,0.2, 0.10, 0.1, 0.1)
  p_income&lt;-c(.50,.35,.15)
  p_state_tmp&lt;-runif(50,10,20)
  p_state&lt;-p_state_tmp/sum(p_state_tmp)
  poststrat$N&lt;-0
  for (j in 1:prod(J)){
    poststrat$N[j] &lt;- round(250e6 * p_male[poststrat[j,1]+1] * p_eth[poststrat[j,2]] *
      p_age[poststrat[j,3]]*p_income[poststrat[j,4]]*p_state[poststrat[j,5]]) #Adjust the N to be the number observed in each category in each group
  }
  
  # Now let's adjust for the probability of response
  p_response_baseline &lt;- 0.01
  p_response_male &lt;- c(2, 0.8) / 2.8
  p_response_eth &lt;- c(1, 1.2, 2.5) / 4.7
  p_response_age &lt;- c(1, 0.4, 1, 1.5,  3, 5, 7) / 18.9
  p_response_inc &lt;- c(1, 0.9, 0.8) / 2.7
  p_response_state &lt;- rbeta(50, 1, 1)
  p_response_state &lt;- p_response_state / sum(p_response_state)
  p_response &lt;- rep(NA, prod(J))
  for (j in 1:prod(J)) {
    p_response[j] &lt;-
      p_response_baseline * p_response_male[poststrat[j, 1] + 1] *
      p_response_eth[poststrat[j, 2]] * p_response_age[poststrat[j, 3]] *
      p_response_inc[poststrat[j, 4]] * p_response_state[poststrat[j, 5]]
  }
  people &lt;- sample(prod(J), n, replace = TRUE, prob = poststrat$N * p_response)
  
  ## For respondent i, people[i] is that person's poststrat cell,
  ## some number between 1 and 32
  n_cell &lt;- rep(NA, prod(J))
  for (j in 1:prod(J)) {
    n_cell[j] &lt;- sum(people == j)
  }
  
  coef_male &lt;- c(0,-0.3)
  coef_eth &lt;- c(0, 0.6, 0.9)
  coef_age &lt;- c(0,-0.2,-0.3, 0.4, 0.5, 0.7, 0.8, 0.9)
  coef_income &lt;- c(0,-0.2, 0.6)
  coef_state &lt;- c(0, round(rnorm(49, 0, 1), 1))
  coef_age_male &lt;- t(cbind(c(0, .1, .23, .3, .43, .5, .6),
                           c(0, -.1, -.23, -.5, -.43, -.5, -.6)))
  true_popn &lt;- data.frame(poststrat[, 1:5], cat_pref = rep(NA, prod(J)))
  for (j in 1:prod(J)) {
    true_popn$cat_pref[j] &lt;- plogis(
      coef_male[poststrat[j, 1] + 1] +
        coef_eth[poststrat[j, 2]] + coef_age[poststrat[j, 3]] +
        coef_income[poststrat[j, 4]] + coef_state[poststrat[j, 5]] +
        coef_age_male[poststrat[j, 1] + 1, poststrat[j, 3]]
      )
  }
  
  #male or not, eth, age, income level, state, city
  y &lt;- rbinom(n, 1, true_popn$cat_pref[people])
  male &lt;- poststrat[people, 1]
  eth &lt;- poststrat[people, 2]
  age &lt;- poststrat[people, 3]
  income &lt;- poststrat[people, 4]
  state &lt;- poststrat[people, 5]
  
  sample &lt;- data.frame(cat_pref = y, 
                       male, age, eth, income, state, 
                       id = 1:length(people))
  
  #Make all numeric:
  for (i in 1:ncol(poststrat)) {
    poststrat[, i] &lt;- as.numeric(poststrat[, i])
  }
  for (i in 1:ncol(true_popn)) {
    true_popn[, i] &lt;- as.numeric(true_popn[, i])
  }
  for (i in 1:ncol(sample)) {
    sample[, i] &lt;- as.numeric(sample[, i])
  }
  list(
    sample = sample,
    poststrat = poststrat,
    true_popn = true_popn
  )
}</code></pre>
</div>
</div>
<div id="references" class="section level1">
<h1>References</h1>
<!-- mrp.bib specified at the top -->
<div id="refs" class="references">
<div id="ref-gelman2005analysis">
<p>Gelman, Andrew, and others. 2005. “Analysis of Variance-Why It Is More Important Than Ever.” <em>The Annals of Statistics</em> 33 (1). Institute of Mathematical Statistics: 1–53.</p>
</div>
<div id="ref-ghitza2013deep">
<p>Ghitza, Yair, and Andrew Gelman. 2013. “Deep Interactions with Mrp: Election Turnout and Voting Patterns Among Small Electoral Subgroups.” <em>American Journal of Political Science</em> 57 (3). Wiley Online Library: 762–76.</p>
</div>
<div id="ref-lax2009should">
<p>Lax, Jeffrey R, and Justin H Phillips. 2009. “How Should We Estimate Public Opinion in the States?” <em>American Journal of Political Science</em> 53 (1). Wiley Online Library: 107–21.</p>
</div>
<div id="ref-lei20172008">
<p>Lei, Rayleigh, Andrew Gelman, and Yair Ghitza. 2017. “The 2008 Election: A Preregistered Replication Analysis.” <em>Statistics and Public Policy</em>. Taylor &amp; Francis, 1–8.</p>
</div>
<div id="ref-little1993post">
<p>Little, Roderick JA. 1993. “Post-Stratification: A Modeler’s Perspective.” <em>Journal of the American Statistical Association</em> 88 (423). Taylor &amp; Francis Group: 1001–12.</p>
</div>
<div id="ref-park2004bayesian">
<p>Park, David K, Andrew Gelman, and Joseph Bafumi. 2004. “Bayesian Multilevel Estimation with Poststratification: State-Level Estimates from National Polls.” <em>Political Analysis</em> 12 (4). Cambridge University Press: 375–85.</p>
</div>
<div id="ref-shirley2015hierarchical">
<p>Shirley, Kenneth E, and Andrew Gelman. 2015. “Hierarchical Models for Estimating State and Demographic Trends in Us Death Penalty Public Opinion.” <em>Journal of the Royal Statistical Society: Series A (Statistics in Society)</em> 178 (1). Wiley Online Library: 1–28.</p>
</div>
<div id="ref-si2017bayesian">
<p>Si, Yajuan, Rob Trangucci, Jonah Sol Gabry, and Andrew Gelman. 2017. “Bayesian Hierarchical Weighting Adjustment and Survey Inference.” <em>arXiv Preprint arXiv:1707.08220</em>.</p>
</div>
</div>
</div>



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