Fit High Dimensional Mixtures of Poisson GLMs

[Up] [Top]

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

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