longDF

datasets

Provides joint analysis and imputation of linear regression models,
generalized linear regression models or linear mixed 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.

Nicole Erler

JointAI

Joint Analysis and Imputation of Incomplete Data

longDF function

A simulated data frame with 318 rows and 13 variables:<dl class="dl-horizontal">
 <dt>C1</dt><dd>continuous, complete baseline variable</dd>
 <dt>C2</dt><dd>continuous, incomplete baseline variable</dd>
 <dt>B1</dt><dd>binary, complete baseline variable</dd>
 <dt>B2</dt><dd>binary, incomplete baseline variable</dd>
 <dt>M1</dt><dd>unordered factor; complete baseline variable</dd>
 <dt>M2</dt><dd>unordered factor; incomplete baseline variable</dd>
 <dt>O1</dt><dd>ordered factor; complete baseline variable</dd>
 <dt>O2</dt><dd>ordered factor; incomplete baseline variable</dd>
 <dt>L1</dt><dd>continuous, complete longitudinal variable</dd>
 <dt>L2</dt><dd>continuous incomplete longitudinal variable</dd>
 <dt>id</dt><dd>id (grouping) variable</dd>
 <dt>time</dt><dd>continuous complete longitudinal variable</dd>
 <dt>y</dt><dd>continuous, longitudinal (outcome) variable</dd>
</dl>

Format

Longitudinal example dataset — longDF

A simulated data frame with 318 rows and 13 variables:<dl class='dl-horizontal'>
 <dt>C1</dt><dd>continuous, complete baseline variable</dd>
 <dt>C2</dt><dd>continuous, incomplete baseline variable</dd>
 <dt>B1</dt><dd>binary, complete baseline variable</dd>
 <dt>B2</dt><dd>binary, incomplete baseline variable</dd>
 <dt>M1</dt><dd>unordered factor; complete baseline variable</dd>
 <dt>M2</dt><dd>unordered factor; incomplete baseline variable</dd>
 <dt>O1</dt><dd>ordered factor; complete baseline variable</dd>
 <dt>O2</dt><dd>ordered factor; incomplete baseline variable</dd>
 <dt>L1</dt><dd>continuous, complete longitudinal variable</dd>
 <dt>L2</dt><dd>continuous incomplete longitudinal variable</dd>
 <dt>id</dt><dd>id (grouping) variable</dd>
 <dt>time</dt><dd>continuous complete longitudinal variable</dd>
 <dt>y</dt><dd>continuous, longitudinal (outcome) variable</dd>
</dl>

longDF: Longitudinal example dataset

Description

Usage

Arguments

Format