wideDF

A simulated cross-sectional dataset.

datasets

Provides joint analysis and imputation of (generalized)
linear and cumulative logit regression models, (generalized) linear and
cumulative logit mixed models and parametric (Weibull) as well as Cox
proportional hazards survival models with incomplete (covariate) data in
the Bayesian framework.
The package performs some preprocessing of the data and creates a 'JAGS'
model, which will then automatically be passed to 'JAGS'
<http://mcmc-jags.sourceforge.net> with the help of
the package 'rjags'.
It also provides summary and plotting functions for the output and allows
to export imputed values.

Nicole Erler

JointAI

Joint Analysis and Imputation of Incomplete Data

Nicole S. Erler

wideDF function

A simulated data frame with 100 rows and 13 variables:<dl class="dl-horizontal">
 <dt>C1</dt><dd>continuous, complete variable</dd>
 <dt>C2</dt><dd>continuous, incomplete variable</dd>
 <dt>B1</dt><dd>binary, complete variable</dd>
 <dt>B2</dt><dd>binary, incomplete variable</dd>
 <dt>M1</dt><dd>unordered factor; complete variable</dd>
 <dt>M2</dt><dd>unordered factor; incomplete variable</dd>
 <dt>O1</dt><dd>ordered factor; complete variable</dd>
 <dt>O2</dt><dd>ordered factor; incomplete variable</dd>
 <dt>L1</dt><dd>continuous, complete variable</dd>
 <dt>L2</dt><dd>continuous incomplete variable</dd>
 <dt>id</dt><dd>id (grouping) variable</dd>
 <dt>time</dt><dd>continuous complete variable</dd>
 <dt>y</dt><dd>continuous, complete variable</dd>
</dl>

Format

Cross-sectional example dataset — wideDF

A simulated data frame with 100 rows and 13 variables:<dl class='dl-horizontal'>
 <dt>C1</dt><dd>continuous, complete variable</dd>
 <dt>C2</dt><dd>continuous, incomplete variable</dd>
 <dt>B1</dt><dd>binary, complete variable</dd>
 <dt>B2</dt><dd>binary, incomplete variable</dd>
 <dt>M1</dt><dd>unordered factor; complete variable</dd>
 <dt>M2</dt><dd>unordered factor; incomplete variable</dd>
 <dt>O1</dt><dd>ordered factor; complete variable</dd>
 <dt>O2</dt><dd>ordered factor; incomplete variable</dd>
 <dt>L1</dt><dd>continuous, complete variable</dd>
 <dt>L2</dt><dd>continuous incomplete variable</dd>
 <dt>id</dt><dd>id (grouping) variable</dd>
 <dt>time</dt><dd>continuous complete variable</dd>
 <dt>y</dt><dd>continuous, complete variable</dd>
</dl>

wideDF: Cross-sectional example dataset

Description

Usage

Arguments

Format