lcsm: Univariate and Bivariate Latent Change Score Modelling

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.

README.md Create path diagrams to visualise model specifications Generate lavaan syntax for latent change score models LCSM Parameters Parameter estimates and fit statistics of LCSMs Simulate data to explore the effect of different parameters Visualise longitudinal data

Vignettes Man pages API and functions Files

Package details
Author	Milan Wiedemann [aut, cre] (<https://orcid.org/0000-0003-1991-282X>), Graham M Thew [ctb] (<https://orcid.org/0000-0003-2851-1315>), Urška Košir [ctb] (<https://orcid.org/0000-0003-2132-4090>), Anke Ehlers [ths] (<https://orcid.org/0000-0002-8742-0192>), Mental Health Research UK [fnd]
Maintainer	Milan Wiedemann <milan.wiedemann@gmail.com>
License	MIT + file LICENSE
Version	0.3.2
URL	https://milanwiedemann.github.io/lcsm/
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("lcsm")`