Extended Mixed Models Using Latent Classes and Latent Processes

Estimation of various extensions of the mixed models including latent class mixed models, joint latent class mixed models, mixed models for curvilinear outcomes, mixed models for multivariate longitudinal outcomes using a maximum likelihood estimation method (Proust-Lima, Philipps, Liquet (2017) ).

lcmm

Installation

To install the CRAN version, use :

install.packages("lcmm")

To get the most recent update, install it from github :

remotes::install_github("CecileProust-Lima/lcmm")

Documentation

The complete documentation is available on the lcmm website https://CecileProust-Lima.github.io/lcmm/, along with vignettes for each of the main estimating function of the package.

A detailed companion paper is also 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. https://doi.org/10.18637/jss.v078.i02

And specific statistical models estimated are described in various statistical papers of the authors.

Issues

Issues and questions about the use of the lcmm package are reported on the github issue page https://github.com/CecileProust-Lima/lcmm/issues. 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.

We try to answer once a week and take requests into account as far as possible, but that's not our main job. Not all issues will be systematically solved.