R: Fit High Dimensional Mixtures of Poisson GLMs

# Fit High Dimensional Mixtures of Poisson GLMs

## Documentation for package ‘poisson.glm.mix’ version 1.4

- DESCRIPTION file

## Help Pages

poisson.glm.mix-package | Estimation of high dimensional Poisson GLMs via EM algorithm.
bjkmodel | EM algorithm for the beta_{jk} (m=1) Poisson GLM mixture.
bjmodel | EM algorithm for the beta_{j} (m=2) Poisson GLM mixture.
bkmodel | EM algorithm for the beta_{k} (m=3) Poisson GLM mixture.
init1.1.jk.j | 1st step of Initialization 1 for the beta_{jk} (m=1) or beta_{j} (m=2) parameterization.
init1.2.jk.j | 2nd step of Initialization 1 for the beta_{jk} (m=1) or beta_{j} (m=2) parameterization.
init1.k | Initialization 1 for the beta_{k} parameterization (m=3).
init2.jk.j | Initialization 2 for the beta_{jk} (m=1) or beta_{j} (m=2) parameterization.
init2.k | Initialization 2 for the beta_k parameterization (m=3).
mylogLikePoisMix | Function to compute the loglikelihood of the mixture.
pois.glm.mix | Main call function of the package.
poisson.glm.mix | Estimation of high dimensional Poisson GLMs via EM algorithm.
sim.data | Simulated data set of 500 observations