poisson.glm.mix: Fit High Dimensional Mixtures of Poisson GLMs

Mixtures of Poisson Generalized Linear Models for high dimensional count data clustering. The (multivariate) responses can be partitioned into set of blocks. Three different parameterizations of the linear predictor are considered. The models are estimated according to the EM algorithm with an efficient initialization scheme <doi:10.1016/j.csda.2014.07.005>.

Version: 1.3
Published: 2022-05-07
Author: Panagiotis Papastamoulis ORCID iD [aut, cre]
Maintainer: Panagiotis Papastamoulis <papapast at yahoo.gr>
License: GPL-2
NeedsCompilation: no
CRAN checks: poisson.glm.mix results


Reference manual: poisson.glm.mix.pdf


Package source: poisson.glm.mix_1.3.tar.gz
Windows binaries: r-devel: poisson.glm.mix_1.3.zip, r-release: poisson.glm.mix_1.3.zip, r-oldrel: poisson.glm.mix_1.3.zip
macOS binaries: r-release (arm64): poisson.glm.mix_1.3.tgz, r-oldrel (arm64): poisson.glm.mix_1.3.tgz, r-release (x86_64): poisson.glm.mix_1.3.tgz, r-oldrel (x86_64): poisson.glm.mix_1.3.tgz
Old sources: poisson.glm.mix archive


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