cldata

A simulated dataset to test functions for imputation of clustered data.

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

cldata function

A data frame with 1000 observations on the following 6 variables.<dl>
 <dt><code>age</code></dt>
<dd>A numeric variable with (centered) 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 with gender indicator. Fully observed.</dd> <dt><code>social</code></dt>
<dd>A 4-category variable with some social status indicator. This is partially observed.</dd> <dt><code>city</code></dt>
<dd>The cluster indicator vector. 10 cities are indexed 0 to 9.</dd> <dt><code>id</code></dt>
<dd>The id for individuals within each city.</dd> 
</dl>

Format

A simulated clustered dataset — cldata

A data frame with 1000 observations on the following 6 variables.<dl>
 <dt><code>age</code></dt>
<dd>A numeric variable with (centered) 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 with gender indicator. Fully observed.</dd>

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

 <dt><code>city</code></dt>
<dd>The cluster indicator vector. 10 cities are indexed 0 to 9.</dd>

 <dt><code>id</code></dt>
<dd>The id for individuals within each city.</dd>

 
</dl>

cldata: A simulated clustered dataset

Description

Usage

Arguments

Format

Details