Mixture Models for Binomial and Longitudinal Data

Provides a clustering method of non-gaussian longitudinal data with a mixture of generalized linear models. The longitudinal data should be defined as repeated observations for each individual. The number of observations for each individual can be different. In runEM(), an expectation-maximization algorithm is developed for both binomial and longitudinal data mixture model.


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install.packages("binomialMix")

1.0.1 by Faustine Bousquet, 6 months ago


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


Authors: Faustine Bousquet <[email protected]> , Sophie L├Ębre <[email protected]> , Christian Lavergne <[email protected]>


Documentation:   PDF Manual  


GPL-3 license


Imports lubridate, Rmpfr, MASS, gmp, dplyr, stringr, rlang, stats

Suggests testthat, devtools, roxygen2, knitr, rmarkdown, ggplot2, qpdf


See at CRAN