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
|
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/dic.fit.mcmc.R
\name{mcmc.erlang}
\alias{mcmc.erlang}
\title{Does a metropolis hastings for the Erlang distribution}
\usage{
mcmc.erlang(
dat,
prior.par1,
prior.par2,
init.pars,
verbose,
burnin,
n.samples,
sds = c(1, 1)
)
}
\arguments{
\item{dat}{the data to fit}
\item{prior.par1}{mean of priors. A negative binomial (for shape) and a normal for log(scale)}
\item{prior.par2}{dispersion parameters for priors, dispersion for negative binomial, log scale sd for normal}
\item{init.pars}{the starting parameters on the reporting scale}
\item{verbose}{how often to print an update}
\item{burnin}{how many burnin iterations to do}
\item{n.samples}{the number of samples to keep and report back}
\item{sds}{the standard deviations for the proposal distribution}
}
\value{
a matrix of n.samples X 2 parameters, on the estimation scale
}
\description{
Does a metropolis hastings for the Erlang distribution
}
|
