f_multinomial

This function can be used in the <code>family</code> argument of <code>create_sampler</code>
or <code>generate_data</code> to specify a multinomial sampling distribution. This
includes the special case of categorical (multinoulli) data.

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

f_multinomial function

<dl><dt>link</dt>
<dd>the name of a link function. Currently the only allowed link function
for the multinomial distribution is <code>"logit"</code>.</dd>
<dt>n.trial</dt>
<dd>the number of multinomial trials. This can be specified either as
a formula for a variable number of trials, or as a scalar value for a common
number of trials for all units.</dd>
<dt>K</dt>
<dd>number of categories for multinomial model; only used for prior predictive sampling.</dd></dl>

Arguments

Specify a multinomial sampling distribution — f_multinomial

<dl>

<dt>link</dt>
<dd>the name of a link function. Currently the only allowed link function
for the multinomial distribution is <code>"logit"</code>.</dd>


<dt>n.trial</dt>
<dd>the number of multinomial trials. This can be specified either as
a formula for a variable number of trials, or as a scalar value for a common
number of trials for all units.</dd>


<dt>K</dt>
<dd>number of categories for multinomial model; only used for prior predictive sampling.</dd>

</dl>

f_multinomial: Specify a multinomial sampling distribution

Description

Usage

Value

Arguments