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 |
| macOS binaries: | r-release: poisson.glm.mix_1.2.tgz, r-oldrel: poisson.glm.mix_1.2.tgz |
| Old sources: | poisson.glm.mix archive |
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