sampleRepeated

Simulate repeated measurements over time (one factor model).

Tools for model specification in the latent variable framework
(add-on to the 'lava' package). The package contains three main functionalities:
Wald tests/F-tests with improved control of the type 1 error in small samples,
adjustment for multiple comparisons when searching for local dependencies,
and adjustment for multiple comparisons when doing inference for multiple latent variable models.

Brice Ozenne

lavaSearch2

Tools for Model Specification in the Latent Variable Framework

sampleRepeated function

<dl><dt>n</dt>
<dd>[integer] sample size.</dd>
<dt>n.Xcont</dt>
<dd>[integer] number of continuous covariates acting on the latent variable.</dd>
<dt>n.Xcat</dt>
<dd>[integer] number of categorical covariates acting on the latent variable.</dd>
<dt>n.rep</dt>
<dd>[integer] number of measurement of the response variable.</dd>
<dt>format</dt>
<dd>[character] should the dataset be returned in the <code>"long"</code> format or in the <code>"wide"</code> format.</dd></dl>

Arguments

Simulate Repeated Measurements over time — sampleRepeated

<dl>

<dt>n</dt>
<dd>[integer] sample size.</dd>


<dt>n.Xcont</dt>
<dd>[integer] number of continuous covariates acting on the latent variable.</dd>


<dt>n.Xcat</dt>
<dd>[integer] number of categorical covariates acting on the latent variable.</dd>


<dt>n.rep</dt>
<dd>[integer] number of measurement of the response variable.</dd>


<dt>format</dt>
<dd>[character] should the dataset be returned in the <code>"long"</code> format or in the <code>"wide"</code> format.</dd>

</dl>

sampleRepeated: Simulate Repeated Measurements over time

Description

Usage

Value

Arguments

Examples