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
