rename_lcsm_vars

Rename variables for univariate and bivariate latent change score models

Helper functions to implement univariate and bivariate latent change score models in R using the 'lavaan' package.
For details about Latent Change Score Modeling (LCSM) see McArdle (2009) <doi:10.1146/annurev.psych.60.110707.163612> and Grimm, An, McArdle, Zonderman and Resnick (2012) <doi:10.1080/10705511.2012.659627>.
The package automatically generates 'lavaan' syntax for different model specifications and varying timepoints.
The 'lavaan' syntax generated by this package can be returned and further specifications can be added manually.
Longitudinal plots as well as simplified path diagrams can be created to visualise data and model specifications.
Estimated model parameters and fit statistics can be extracted as data frames.
Data for different univariate and bivariate LCSM can be simulated by specifying estimates for model parameters to explore their effects.
This package combines the strengths of other R packages like 'lavaan', 'broom', and 'semPlot' by generating 'lavaan' syntax that helps these packages work together.

Milan Wiedemann

lcsm

Univariate and Bivariate Latent Change Score Modelling

Graham M Thew

Urška Košir

Anke Ehlers

Mental Health Research UK 

rename_lcsm_vars function

<dl><dt>data</dt>
<dd>Dataset in wide format</dd>
<dt>var_x</dt>
<dd>List of variables measuring first construct</dd>
<dt>var_y</dt>
<dd>List of variables measuring second construct</dd></dl>

Arguments

Rename variables for univariate and bivariate latent change score models — rename_lcsm_vars

<dl>

<dt>data</dt>
<dd>Dataset in wide format</dd>


<dt>var_x</dt>
<dd>List of variables measuring first construct</dd>


<dt>var_y</dt>
<dd>List of variables measuring second construct</dd>

</dl>

rename_lcsm_vars: Rename variables for univariate and bivariate latent change score models

Description

Usage

Value

Arguments