data_long_cont

Simulated multivariate longitudinal continuous dataset assuming that there are 500 subjects in the study whose data are collected at 5 equally-spaced time points.

datasets

Latent Markov models for longitudinal continuous and categorical data. See Bartolucci, Pandolfi, Pennoni (2017)<doi:10.18637/jss.v081.i04>.

Francesco Bartolucci

LMest

Generalized Latent Markov Models

Silvia Pandolfi

Fulvia Pennoni

Alessio Farcomeni

Alessio Serafini

data_long_cont function

A data frame with 2500 observations on the following 7 variables.<dl>
 <dt><code>id</code></dt>
<dd>subject id.</dd> <dt><code>time</code></dt>
<dd>occasion of observation.</dd> <dt><code>Y1</code></dt>
<dd>a numeric vector for the first longitudinal response.</dd> <dt><code>Y2</code></dt>
<dd>a numeric vector for the second longitudinal response.</dd> <dt><code>Y3</code></dt>
<dd>a numeric vector for the third longitudinal response.</dd> <dt><code>X1</code></dt>
<dd>a numeric vector for the first covariate.</dd> <dt><code>X2</code></dt>
<dd>a numeric vector for the second covariate.</dd></dl>

Format

Multivariate Longitudinal Continuous (Gaussian) Data — data_long_cont

A data frame with 2500 observations on the following 7 variables.<dl>
 <dt><code>id</code></dt>
<dd>subject id.</dd>

 <dt><code>time</code></dt>
<dd>occasion of observation.</dd>

 <dt><code>Y1</code></dt>
<dd>a numeric vector for the first longitudinal response.</dd>

 <dt><code>Y2</code></dt>
<dd>a numeric vector for the second longitudinal response.</dd>

 <dt><code>Y3</code></dt>
<dd>a numeric vector for the third longitudinal response.</dd>

 <dt><code>X1</code></dt>
<dd>a numeric vector for the first covariate.</dd>

 <dt><code>X2</code></dt>
<dd>a numeric vector for the second covariate.</dd>

</dl>

data_long_cont: Multivariate Longitudinal Continuous (Gaussian) Data

Description

Usage

Arguments

Format

Examples