poisson.glm.mix: Fit high dimensional mixtures of Poisson GLMs

High dimensional mixtures of Poisson Generalized Linear models with three different parameterizations of Poisson means are considered. Moreover, partitioning the response variables into a set of blocks is possible. The package estimates parameters via EM algorithm. For an efficient initialization, a random splitting small-EM is introduced.

Version: 1.2
Published: 2014-04-17
Author: Panagiotis Papastamoulis, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau
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_1.2.tar.gz
Windows binaries: r-devel: poisson.glm.mix_1.2.zip, r-release: poisson.glm.mix_1.2.zip, r-oldrel: poisson.glm.mix_1.2.zip
OS X Snow Leopard binaries: r-release: poisson.glm.mix_1.2.tgz, r-oldrel: poisson.glm.mix_1.2.tgz
OS X Mavericks binaries: r-release: poisson.glm.mix_1.2.tgz
Old sources: poisson.glm.mix archive

Reverse dependencies:

Reverse imports: HTSCluster, HTSDiff