simdat

A simulated dataset to illustrate multilevel modelling using I-priors.

datasets

Provides methods to perform and analyse I-prior regression models.
Estimation is mainly done via an EM algorithm, but there is flexibility in
using any optimiser.

Haziq Jamil

iprior

Linear Regression using I-Priors

simdat function

A data frame with 53940 rows and 10 variables:<dl class="dl-horizontal">
 <dt><code>y</code></dt><dd>Response variable</dd>
 <dt><code>x</code></dt><dd>Explanatory variable</dd>
 <dt><code>grp</code></dt><dd>Factor, indicating the group of that observation.</dd>
</dl>

Format

Random slopes model simulated data — simdat

A data frame with 53940 rows and 10 variables:<dl class='dl-horizontal'>
 <dt><code>y</code></dt><dd>Response variable</dd>
 <dt><code>x</code></dt><dd>Explanatory variable</dd>
 <dt><code>grp</code></dt><dd>Factor, indicating the group of that observation.</dd>
</dl>

simdat: Random slopes model simulated data

Description

Usage

Arguments

Format

Examples