lcsm: Univariate and Bivariate Latent Change Score Modeling

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.

Package details

AuthorMilan Wiedemann [aut, cre] (<https://orcid.org/0000-0003-1991-282X>), Anke Ehlers [ths] (<https://orcid.org/0000-0002-8742-0192>), Mental Health Research UK [fnd]
MaintainerMilan Wiedemann <milan.wiedemann@gmail.com>
LicenseGPL-3
Version0.1.2
URL https://milanwiedemann.github.io/lcsm/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("lcsm")

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lcsm documentation built on July 25, 2020, 1:06 a.m.