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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: 1.4
Published: 2023-08-19
DOI: 10.32614/CRAN.package.poisson.glm.mix
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

Documentation:

Reference manual: poisson.glm.mix.pdf

Downloads:

Package source: poisson.glm.mix_1.4.tar.gz
Windows binaries: r-devel: poisson.glm.mix_1.4.zip, r-release: poisson.glm.mix_1.4.zip, r-oldrel: poisson.glm.mix_1.4.zip
macOS binaries: r-release (arm64): poisson.glm.mix_1.4.tgz, r-oldrel (arm64): poisson.glm.mix_1.4.tgz, r-release (x86_64): poisson.glm.mix_1.4.tgz, r-oldrel (x86_64): poisson.glm.mix_1.4.tgz
Old sources: poisson.glm.mix archive

Reverse dependencies:

Reverse imports: glmMisrep

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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