Package: poisson.glm.mix 1.4

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>.

Authors:Panagiotis Papastamoulis [aut, cre]

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poisson.glm.mix/json (API)

# Install 'poisson.glm.mix' in R:
install.packages('poisson.glm.mix', repos = c('https://mqbssppe.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • sim.data - Simulated data set of 500 observations
  • sim.data - Simulated data set of 500 observations

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

10 exports 0.36 score 0 dependencies 1 dependents 11 scripts 346 downloads

Last updated 1 years agofrom:a24cc684d6. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 17 2024
R-4.5-winOKSep 17 2024
R-4.5-linuxOKSep 17 2024
R-4.4-winOKSep 17 2024
R-4.4-macOKSep 17 2024
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R-4.3-macOKSep 17 2024

Exports:bjkmodelbjmodelbkmodelinit1.1.jk.jinit1.2.jk.jinit1.kinit2.jk.jinit2.kmylogLikePoisMixpois.glm.mix

Dependencies: