Data Generation with Poisson, Binary and Ordinal Components

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Documentation for package ‘PoisBinOrd’ version 1.4.3

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PoisBinOrd-package Data Generation with Count, Binary and Ordinal 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
gen.PoisBinOrd Simulates a sample of size n from a set of multivariate Poisson, binary, and ordinal variables
intermediate.corr.BO Computes an intermediate normal correlation matrix for any combination of binary and ordinal variables given the specified correlation matrix
intermediate.corr.PBO Computes the pairwise entries of the intermediate normal correlation matrix for all Poisson-binary and Poisson-ordinal variable 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
PoisBinOrd Data Generation with Count, Binary and Ordinal Components
validation.bin Validates the marginal specification of the binary variables
validation.corr Validates the specified correlation matrix
validation.ord Validates the marginal specification of the ordinal variables