R: Data Generation with Poisson, Binary and Ordinal Components

# Data Generation with Poisson, Binary and Ordinal Components

## Documentation for package ‘PoisBinOrd’ version 1.4.3

- DESCRIPTION file

## Help Pages

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