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:
poisson.glm.mix_1.4.tar.gz
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poisson.glm.mix.pdf |poisson.glm.mix.html✨
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:a24cc684d6. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 17 2024 |
R-4.5-win | OK | Sep 17 2024 |
R-4.5-linux | OK | Sep 17 2024 |
R-4.4-win | OK | Sep 17 2024 |
R-4.4-mac | OK | Sep 17 2024 |
R-4.3-win | OK | Sep 17 2024 |
R-4.3-mac | OK | Sep 17 2024 |
Exports:bjkmodelbjmodelbkmodelinit1.1.jk.jinit1.2.jk.jinit1.kinit2.jk.jinit2.kmylogLikePoisMixpois.glm.mix
Dependencies: