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| 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 GLM's via EM algorithm. |
| sim.data | Simulated data set of 500 observations |