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 Lèbre, Christian Lavergne |
| Maintainer: | Faustine Bousquet <faustine.bousquet at umontpellier.fr> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | binomialMix results |
| 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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