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lcsm  

Univariate and Bivariate Latent Change Score Modelling
View on CRAN: Click here


Download and install lcsm package within the R console
Install from CRAN:
install.packages("lcsm")

Install from Github:
library("remotes")
install_github("cran/lcsm")

Install by package version:
library("remotes")
install_version("lcsm", "0.3.2")



Attach the package and use:
library("lcsm")
Maintained by
Milan Wiedemann
[Scholar Profile | Author Map]
First Published: 2020-06-05
Latest Update: 2023-02-25
Description:
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.
How to cite:
Milan Wiedemann (2020). lcsm: Univariate and Bivariate Latent Change Score Modelling. R package version 0.3.2, https://cran.r-project.org/web/packages/lcsm. Accessed 06 Apr. 2025.
Previous versions and publish date:
0.1.1 (2020-06-05 12:40), 0.1.2 (2020-07-24 20:00), 0.3.1 (2023-02-01 15:20)
Other packages that cited lcsm R package
View lcsm citation profile
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Complete documentation for lcsm
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