sldata

A simulated dataset to test single level functions, i.e. jomo1con, jomo1cat and jomo1mix.

Similarly to package 'pan', 'jomo' is a package for multilevel joint modelling multiple imputation (Carpenter and Kenward, 2013) <doi:10.1002/9781119942283>.
Novel aspects of 'jomo' are the possibility of handling binary and categorical data through latent normal variables, the option to use cluster-specific covariance matrices and to impute compatibly with the substantive model.

Matteo Quartagno

jomo

Multilevel Joint Modelling Multiple Imputation

sldata function

A data frame with 300 observations on the following 4 variables.<dl>
 <dt><code>age</code></dt>
<dd>A numeric variable with age. Fully observed.</dd> <dt><code>measure</code></dt>
<dd>A numeric variable with some measure of interest (unspecified). This is partially observed.</dd> <dt><code>sex</code></dt>
<dd>A binary variable for gender indicator. Fully observed.</dd> <dt><code>social</code></dt>
<dd>A 4-category variable with a social status indicator. This is partially observed.</dd>
 
</dl>

Format

A simulated single level dataset — sldata

A data frame with 300 observations on the following 4 variables.<dl>
 <dt><code>age</code></dt>
<dd>A numeric variable with age. Fully observed.</dd>

 <dt><code>measure</code></dt>
<dd>A numeric variable with some measure of interest (unspecified). This is partially observed.</dd>

 <dt><code>sex</code></dt>
<dd>A binary variable for gender indicator. Fully observed.</dd>

 <dt><code>social</code></dt>
<dd>A 4-category variable with a social status indicator. This is partially observed.</dd>


 
</dl>

sldata: A simulated single level dataset

Description

Usage

Arguments

Format

Details