The lcmm package implements various extensions of mixed models. It handles continuous (Gaussian or not) and ordinal outcomes with repeated measures and latent classes. A time-to-event can jointly be considered in a proportionnal hazard model. All models are estimated with a maximum likelihood framework using a modified Marquardt-Levenberg algorithm. The package also includes several predictions, visualization, and utility functions to conduct a complete statistical analysis.
A detailed companion paper is available in Journal of Statistical Software :
Proust-Lima C, Philipps V, Liquet B. Estimation of Extended Mixed Models Using Latent Classes and Latent Processes: The R Package lcmm. Journal of Statistical Software, Articles. 2017;78(2):1-56.
And specific statistical models estimated are described in various statistical papers of the authors.
The lcmm package needs version 3.5 or newer of the R software. To install the released CRAN version of the package, use
install.packages("lcmm")
To get the most recent update, install it from github :
remotes::install_github("CecileProust-Lima/lcmm")
The lcmm package depends on other R package, namely :
To run the examples proposed in this website, the following package are also needed :
This website is intended to help the lcmm users in their statistical analyses. It provides an [overview](articles/lcmm.html) of the package, several [vignettes](articles/index.html), a [FAQ](articles/usual_problems.html) page and the [help pages](reference/index.html) of all functions included in the lcmm package.
Further issues and questions about the use of the lcmm package are reported on the github issue page . Please check both opened and closed issues to make sure that the topic has not already been treated before creating a new issue. To report a bug, please provide a reproducible example.
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