f_binomial

This function can be used in the <code>family</code> argument of <code>create_sampler</code>
or <code>generate_data</code> to specify a binomial sampling distribution. This
includes the special case of binary (Bernoulli) 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_binomial function

<dl><dt>link</dt>
<dd>the name of a link function. Currently the only allowed link functions
for the binomial distribution are <code>"logit"</code> (default) and <code>"probit"</code>.</dd>
<dt>n.trial</dt>
<dd>the number of binomial 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></dl>

Arguments

Specify a binomial sampling distribution — f_binomial

<dl>

<dt>link</dt>
<dd>the name of a link function. Currently the only allowed link functions
for the binomial distribution are <code>"logit"</code> (default) and <code>"probit"</code>.</dd>


<dt>n.trial</dt>
<dd>the number of binomial 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>

</dl>

f_binomial: Specify a binomial sampling distribution

Description

Usage

Value

Arguments