PoisBinNonNor-package   Data Generation with Count, Binary and
                        Continuous Components
correlation.bound.check
                        Checks if the pairwise correlation among
                        variables are within the feasible range
correlation.limits      Computes lower and upper correlation bounds for
                        each pair of variables
fleishman.coef          Computes the coefficients of Fleishman third
                        order polynomials
gen.PoisBinNonNor       Simulates a sample of size n from a set of
                        multivariate Poisson, binary, and continuous
                        data
intermediate.corr.BB    Computes an intermediate normal correlation
                        matrix for binary variables given the specified
                        correlation matrix
intermediate.corr.BC    Computes intermediate correlation matrix for
                        binary and continuous variables given the
                        specified correlation matrix
intermediate.corr.CC    Computes an intermediate correlation matrix for
                        continuous variables given the specified
                        correlation matrix
intermediate.corr.PB    Computes the pairwise entries of the
                        intermediate normal correlation matrix for all
                        Poisson-binary combinations given the specified
                        correlation matrix.
intermediate.corr.PC    Computes the pairwise entries of the
                        intermediate normal correlation matrix for all
                        Poisson-continuous combinations given the
                        specified correlation matrix.
intermediate.corr.PP    Computes an intermediate normal correlation
                        matrix for Poisson variables given the
                        specified correlation matrix
overall.corr.mat        Computes the final intermediate correlation
                        matrix
validation.bin          Validates the marginal specification of the
                        binary variables
validation.corr         Validates the specified correlation matrix
validation.skewness.kurtosis
                        Validates the marginal specification of the
                        continuous variables
