R: Data Generation with Poisson, Binary and Continuous Components

# Data Generation with Poisson, Binary and Continuous Components

## Documentation for package ‘PoisBinNonNor’ version 1.3.3

- DESCRIPTION file

## Help Pages

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
PoisBinNonNor | Data Generation with Count, Binary and Continuous Components
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