binomialMix: 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.

Version: 1.0.1
Depends: R (≥ 3.6)
Imports: lubridate (≥ 1.7.0), Rmpfr, MASS, gmp, dplyr, stringr, rlang, stats
Suggests: testthat, devtools, roxygen2, knitr, rmarkdown, ggplot2, qpdf
Published: 2020-03-23
Author: Faustine Bousquet, Sophie L├Ębre, Christian Lavergne
Maintainer: Faustine Bousquet <faustine.bousquet at umontpellier.fr>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: binomialMix results

Downloads:

Reference manual: binomialMix.pdf
Vignettes: Tutorial for binomialMix
Package source: binomialMix_1.0.1.tar.gz
Windows binaries: r-devel: binomialMix_1.0.1.zip, r-release: binomialMix_1.0.1.zip, r-oldrel: binomialMix_1.0.1.zip
macOS binaries: r-release: binomialMix_1.0.1.tgz, r-oldrel: binomialMix_1.0.1.tgz
Old sources: binomialMix archive

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