1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
|
<!--
@license Apache-2.0
Copyright (c) 2018 The Stdlib Authors.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
-->
# Pseudorandom Number Generator Iterators
> Standard library pseudorandom number generator (PRNG) iterators.
<section class="usage">
## Usage
```javascript
var ns = require( '@stdlib/random/iter' );
```
#### ns
Standard library pseudorandom number generator (PRNG) iterators.
```javascript
var iterators = ns;
// returns {...}
```
The namespace contains the following functions for creating iterator protocol-compliant iterators:
<!-- <toc pattern="*"> -->
<div class="namespace-toc">
- <span class="signature">[`arcsine( a, b[, options] )`][@stdlib/random/iter/arcsine]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from an arcsine distribution.</span>
- <span class="signature">[`bernoulli( p[, options] )`][@stdlib/random/iter/bernoulli]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a Bernoulli distribution.</span>
- <span class="signature">[`beta( alpha, beta[, options] )`][@stdlib/random/iter/beta]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a beta distribution.</span>
- <span class="signature">[`betaprime( alpha, beta[, options] )`][@stdlib/random/iter/betaprime]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a beta prime distribution.</span>
- <span class="signature">[`binomial( n, p[, options] )`][@stdlib/random/iter/binomial]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a binomial distribution.</span>
- <span class="signature">[`boxMuller( [options] )`][@stdlib/random/iter/box-muller]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.</span>
- <span class="signature">[`cauchy( x0, gamma[, options] )`][@stdlib/random/iter/cauchy]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a Cauchy distribution.</span>
- <span class="signature">[`chi( k[, options] )`][@stdlib/random/iter/chi]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a chi distribution.</span>
- <span class="signature">[`chisquare( k[, options] )`][@stdlib/random/iter/chisquare]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a chi-square distribution.</span>
- <span class="signature">[`cosine( mu, s[, options] )`][@stdlib/random/iter/cosine]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a raised cosine distribution.</span>
- <span class="signature">[`discreteUniform( a, b[, options] )`][@stdlib/random/iter/discrete-uniform]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a discrete uniform distribution.</span>
- <span class="signature">[`erlang( k, lambda[, options] )`][@stdlib/random/iter/erlang]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from an Erlang distribution.</span>
- <span class="signature">[`exponential( lambda[, options] )`][@stdlib/random/iter/exponential]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from an exponential distribution.</span>
- <span class="signature">[`f( d1, d2[, options] )`][@stdlib/random/iter/f]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from an F distribution.</span>
- <span class="signature">[`frechet( alpha, s, m[, options] )`][@stdlib/random/iter/frechet]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a Fréchet distribution.</span>
- <span class="signature">[`gamma( alpha, beta[, options] )`][@stdlib/random/iter/gamma]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a gamma distribution.</span>
- <span class="signature">[`geometric( p[, options] )`][@stdlib/random/iter/geometric]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a geometric distribution.</span>
- <span class="signature">[`gumbel( mu, beta[, options] )`][@stdlib/random/iter/gumbel]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a Gumbel distribution.</span>
- <span class="signature">[`hypergeometric( N, K, n[, options] )`][@stdlib/random/iter/hypergeometric]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a hypergeometric distribution.</span>
- <span class="signature">[`improvedZiggurat( [options] )`][@stdlib/random/iter/improved-ziggurat]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Improved Ziggurat algorithm.</span>
- <span class="signature">[`invgamma( alpha, beta[, options] )`][@stdlib/random/iter/invgamma]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from an inverse gamma distribution.</span>
- <span class="signature">[`kumaraswamy( a, b[, options] )`][@stdlib/random/iter/kumaraswamy]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a Kumaraswamy's double bounded distribution.</span>
- <span class="signature">[`laplace( mu, b[, options] )`][@stdlib/random/iter/laplace]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a Laplace (double exponential) distribution.</span>
- <span class="signature">[`levy( mu, c[, options] )`][@stdlib/random/iter/levy]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a Lévy distribution.</span>
- <span class="signature">[`logistic( mu, s[, options] )`][@stdlib/random/iter/logistic]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a logistic distribution.</span>
- <span class="signature">[`lognormal( mu, sigma[, options] )`][@stdlib/random/iter/lognormal]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a lognormal distribution.</span>
- <span class="signature">[`minstdShuffle( [options] )`][@stdlib/random/iter/minstd-shuffle]</span><span class="delimiter">: </span><span class="description">create an iterator for a linear congruential pseudorandom number generator (LCG) whose output is shuffled.</span>
- <span class="signature">[`minstd( [options] )`][@stdlib/random/iter/minstd]</span><span class="delimiter">: </span><span class="description">create an iterator for a linear congruential pseudorandom number generator (LCG) based on Park and Miller.</span>
- <span class="signature">[`mt19937( [options] )`][@stdlib/random/iter/mt19937]</span><span class="delimiter">: </span><span class="description">create an iterator for a 32-bit Mersenne Twister pseudorandom number generator.</span>
- <span class="signature">[`negativeBinomial( r, p[, options] )`][@stdlib/random/iter/negative-binomial]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a negative binomial distribution.</span>
- <span class="signature">[`normal( mu, sigma[, options] )`][@stdlib/random/iter/normal]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a normal distribution.</span>
- <span class="signature">[`pareto1( alpha, beta[, options] )`][@stdlib/random/iter/pareto-type1]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a Pareto (Type I) distribution.</span>
- <span class="signature">[`poisson( lambda[, options] )`][@stdlib/random/iter/poisson]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a Poisson distribution.</span>
- <span class="signature">[`randi( [options] )`][@stdlib/random/iter/randi]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers having integer values.</span>
- <span class="signature">[`randn( [options] )`][@stdlib/random/iter/randn]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a standard normal distribution.</span>
- <span class="signature">[`randu( [options] )`][@stdlib/random/iter/randu]</span><span class="delimiter">: </span><span class="description">create an iterator for generating uniformly distributed pseudorandom numbers between `0` and `1`.</span>
- <span class="signature">[`rayleigh( sigma[, options] )`][@stdlib/random/iter/rayleigh]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a Rayleigh distribution.</span>
- <span class="signature">[`t( v[, options] )`][@stdlib/random/iter/t]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a Student's t distribution.</span>
- <span class="signature">[`triangular( a, b, c[, options] )`][@stdlib/random/iter/triangular]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a triangular distribution.</span>
- <span class="signature">[`uniform( a, b[, options] )`][@stdlib/random/iter/uniform]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a continuous uniform distribution.</span>
- <span class="signature">[`weibull( k, lambda[, options] )`][@stdlib/random/iter/weibull]</span><span class="delimiter">: </span><span class="description">create an iterator for generating pseudorandom numbers drawn from a Weibull distribution.</span>
</div>
<!-- </toc> -->
</section>
<!-- /.usage -->
<section class="examples">
## Examples
<!-- TODO: better examples -->
<!-- eslint no-undef: "error" -->
```javascript
var objectKeys = require( '@stdlib/utils/keys' );
var ns = require( '@stdlib/random/iter' );
console.log( objectKeys( ns ) );
```
</section>
<!-- /.examples -->
<section class="links">
<!-- <toc-links> -->
[@stdlib/random/iter/arcsine]: https://github.com/stdlib-js/random/tree/main/iter/arcsine
[@stdlib/random/iter/bernoulli]: https://github.com/stdlib-js/random/tree/main/iter/bernoulli
[@stdlib/random/iter/beta]: https://github.com/stdlib-js/random/tree/main/iter/beta
[@stdlib/random/iter/betaprime]: https://github.com/stdlib-js/random/tree/main/iter/betaprime
[@stdlib/random/iter/binomial]: https://github.com/stdlib-js/random/tree/main/iter/binomial
[@stdlib/random/iter/box-muller]: https://github.com/stdlib-js/random/tree/main/iter/box-muller
[@stdlib/random/iter/cauchy]: https://github.com/stdlib-js/random/tree/main/iter/cauchy
[@stdlib/random/iter/chi]: https://github.com/stdlib-js/random/tree/main/iter/chi
[@stdlib/random/iter/chisquare]: https://github.com/stdlib-js/random/tree/main/iter/chisquare
[@stdlib/random/iter/cosine]: https://github.com/stdlib-js/random/tree/main/iter/cosine
[@stdlib/random/iter/discrete-uniform]: https://github.com/stdlib-js/random/tree/main/iter/discrete-uniform
[@stdlib/random/iter/erlang]: https://github.com/stdlib-js/random/tree/main/iter/erlang
[@stdlib/random/iter/exponential]: https://github.com/stdlib-js/random/tree/main/iter/exponential
[@stdlib/random/iter/f]: https://github.com/stdlib-js/random/tree/main/iter/f
[@stdlib/random/iter/frechet]: https://github.com/stdlib-js/random/tree/main/iter/frechet
[@stdlib/random/iter/gamma]: https://github.com/stdlib-js/random/tree/main/iter/gamma
[@stdlib/random/iter/geometric]: https://github.com/stdlib-js/random/tree/main/iter/geometric
[@stdlib/random/iter/gumbel]: https://github.com/stdlib-js/random/tree/main/iter/gumbel
[@stdlib/random/iter/hypergeometric]: https://github.com/stdlib-js/random/tree/main/iter/hypergeometric
[@stdlib/random/iter/improved-ziggurat]: https://github.com/stdlib-js/random/tree/main/iter/improved-ziggurat
[@stdlib/random/iter/invgamma]: https://github.com/stdlib-js/random/tree/main/iter/invgamma
[@stdlib/random/iter/kumaraswamy]: https://github.com/stdlib-js/random/tree/main/iter/kumaraswamy
[@stdlib/random/iter/laplace]: https://github.com/stdlib-js/random/tree/main/iter/laplace
[@stdlib/random/iter/levy]: https://github.com/stdlib-js/random/tree/main/iter/levy
[@stdlib/random/iter/logistic]: https://github.com/stdlib-js/random/tree/main/iter/logistic
[@stdlib/random/iter/lognormal]: https://github.com/stdlib-js/random/tree/main/iter/lognormal
[@stdlib/random/iter/minstd-shuffle]: https://github.com/stdlib-js/random/tree/main/iter/minstd-shuffle
[@stdlib/random/iter/minstd]: https://github.com/stdlib-js/random/tree/main/iter/minstd
[@stdlib/random/iter/mt19937]: https://github.com/stdlib-js/random/tree/main/iter/mt19937
[@stdlib/random/iter/negative-binomial]: https://github.com/stdlib-js/random/tree/main/iter/negative-binomial
[@stdlib/random/iter/normal]: https://github.com/stdlib-js/random/tree/main/iter/normal
[@stdlib/random/iter/pareto-type1]: https://github.com/stdlib-js/random/tree/main/iter/pareto-type1
[@stdlib/random/iter/poisson]: https://github.com/stdlib-js/random/tree/main/iter/poisson
[@stdlib/random/iter/randi]: https://github.com/stdlib-js/random/tree/main/iter/randi
[@stdlib/random/iter/randn]: https://github.com/stdlib-js/random/tree/main/iter/randn
[@stdlib/random/iter/randu]: https://github.com/stdlib-js/random/tree/main/iter/randu
[@stdlib/random/iter/rayleigh]: https://github.com/stdlib-js/random/tree/main/iter/rayleigh
[@stdlib/random/iter/t]: https://github.com/stdlib-js/random/tree/main/iter/t
[@stdlib/random/iter/triangular]: https://github.com/stdlib-js/random/tree/main/iter/triangular
[@stdlib/random/iter/uniform]: https://github.com/stdlib-js/random/tree/main/iter/uniform
[@stdlib/random/iter/weibull]: https://github.com/stdlib-js/random/tree/main/iter/weibull
<!-- </toc-links> -->
</section>
<!-- /.links -->
|
