pr_truncnormal

Create an object representing truncated normal prior distributions

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

pr_truncnormal function

<dl><dt>mean</dt>
<dd>scalar or vector mean parameter.</dd>
<dt>precision</dt>
<dd>scalar, vector or matrix precision parameter.</dd>
<dt>lower</dt>
<dd>lower limit of the truncated interval.</dd>
<dt>upper</dt>
<dd>lower limit of the truncated interval.</dd></dl>

Arguments

Create an object representing truncated normal prior distributions — pr_truncnormal

<dl>

<dt>mean</dt>
<dd>scalar or vector mean parameter.</dd>


<dt>precision</dt>
<dd>scalar, vector or matrix precision parameter.</dd>


<dt>lower</dt>
<dd>lower limit of the truncated interval.</dd>


<dt>upper</dt>
<dd>lower limit of the truncated interval.</dd>

</dl>

pr_truncnormal: Create an object representing truncated normal prior distributions

Description

Usage

Value

Arguments