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) and Grimm, An, McArdle, Zonderman and Resnick (2012) . 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.


Reference manual

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0.1.2 by Milan Wiedemann, a year ago


Report a bug at https://github.com/milanwiedemann/lcsm/issues

Browse source code at https://github.com/cran/lcsm

Authors: Milan Wiedemann [aut, cre] , Anke Ehlers [ths] , Mental Health Research UK [fnd]

Documentation:   PDF Manual  

GPL-3 license

Imports lavaan, dplyr, tibble, magrittr, rlang, tidyr, ggplot2, broom, semPlot, stats, stringr, purrr, data.table, utf8

Suggests testthat, knitr, rmarkdown, shiny

See at CRAN