mcmcsae-family

f_gaussian

f_binomial

f_negbinomial

f_poisson

f_multinomial

These functions are intended for use in the <code>family</code> argument of <code>create_sampler</code>.
In future versions these functions may gain additional arguments, but currently the corresponding
functions <code>gaussian</code> and <code>binomial</code> can be used as well.

Fit multi-level models with possibly correlated
random effects using Markov Chain Monte Carlo simulation.
Such models allow smoothing over space and time and are useful in,
for example, small area estimation.

Harm Jan Boonstra

mcmcsae

Markov Chain Monte Carlo Small Area Estimation

Grzegorz Baltissen

mcmcsae-family function

<dl><dt>link</dt>
<dd>the name of a link function. Currently the only allowed link functions are:
<code>"identity"</code> for (log-)Gaussian sampling distributions, <code>"logit"</code> (default) and <code>"probit"</code>
for binomial distributions and <code>"log"</code> for negative binomial sampling distributions.</dd>
<dt>K</dt>
<dd>number of categories for multinomial model; this must be specified for prior predictive sampling.</dd></dl>

Arguments

Functions for specifying a sampling distribution and link function — mcmcsae-family

<dl>

<dt>link</dt>
<dd>the name of a link function. Currently the only allowed link functions are:
<code>"identity"</code> for (log-)Gaussian sampling distributions, <code>"logit"</code> (default) and <code>"probit"</code>
for binomial distributions and <code>"log"</code> for negative binomial sampling distributions.</dd>


<dt>K</dt>
<dd>number of categories for multinomial model; this must be specified for prior predictive sampling.</dd>

</dl>

mcmcsae-family: Functions for specifying a sampling distribution and link function

Description

Usage

Value

Arguments