mc_offset

This function is intended to be used on the right hand side of the <code>formula</code> argument to
<code>create_sampler</code> or <code>generate_data</code>.

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

mc_offset function

<dl><dt>formula</dt>
<dd>model formula.</dd>
<dt>value</dt>
<dd>alternative specification of an offset as a single scalar
value that is the same for each data unit.</dd>
<dt>name</dt>
<dd>the name of the model component. This name is used in the output of the MCMC simulation
function <code>MCMCsim</code>. By default the name will be 'mc_offset' with the number of the model term attached.</dd></dl>

Arguments

Create a model component object for an offset, i.e. fixed, non-parametrized term in the linear predictor — mc_offset

<dl>

<dt>formula</dt>
<dd>model formula.</dd>


<dt>value</dt>
<dd>alternative specification of an offset as a single scalar
value that is the same for each data unit.</dd>


<dt>name</dt>
<dd>the name of the model component. This name is used in the output of the MCMC simulation
function <code>MCMCsim</code>. By default the name will be 'mc_offset' with the number of the model term attached.</dd>

</dl>

mc_offset: Create a model component object for an offset, i.e. fixed, non-parametrized term in the linear predictor

Description

Usage

Value

Arguments