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.


Reference manual

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1.0.1 by Faustine Bousquet, a year 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