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.
|Author||Panagiotis Papastamoulis, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau|
|Date of publication||2014-04-17 23:14:54|
|Maintainer||Panagiotis Papastamoulis <[email protected]>|
|Package repository||View on CRAN|
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