data_hlme


The data were simulated from a 3-latent class linear mixed model. Repeated data for 100 subjects were simulated. The three latent classes are predicted by X2 and X3. In each latent class, Y follows a linear mixed model including intercept and time both with correlated random-effects and class-specific fixed effects. In addition, X1 and X1*time have a common impact over classes on the Y trajectory.  


datasets

Estimation of various extensions of the mixed models including latent class mixed models, joint latent latent class mixed models and mixed models for curvilinear univariate or multivariate longitudinal outcomes using a maximum likelihood estimation method.

Cecile Proust-Lima

lcmm

Extended Mixed Models Using Latent Classes and Latent Processes

data_hlme function

A data frame with 326 observations on the following 9 variables.
  <dl>
    <dt><code>ID</code></dt><dd>subject identification number</dd> <dt><code>Y</code></dt><dd>longitudinal outcome</dd> <dt><code>Time</code></dt><dd>time of measurement</dd> <dt><code>X1</code></dt><dd>binary covariate</dd> <dt><code>X2</code></dt><dd>binary covariate</dd> <dt><code>X3</code></dt><dd>binary covariate</dd> </dl> 

data_hlme: Simulated dataset for hlme function

Description

Usage

Arguments

Format

See Also