R: Generate Multivariate Discrete Data

# Generate Multivariate Discrete Data

## Documentation for package ‘MultiDiscreteRNG’ version 0.1.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

BinToB | Convert multivariate binary data back to the original binomial scale
BinToGPD | Convert multivariate binary data back to the original generalized Poisson scale
BinToMix | Convert multivariate binary data to mixed distribution outcomes
BinToNB | Convert multivariate binary data back to the original negative binomial scale
calc.bin.prob.B | Collapse binomial data outcomes to binary variable
calc.bin.prob.GPD | Collapse discrete generalized Poisson outcomes to binary variables
calc.bin.prob.NB | Collapse discrete negative binomial outcomes to binary variables
discrete_cont | Compute the tetrachoric correlation matrix for a multivariate standard normal distribution
genB | Generate multivariate binomial data
generate.binaryVar | Generate multivariate Binary data using the Emrich and Piedmonte (1991) approach Approach
genGPD | Generate multivariate generalized Poisson data
genMix | Generate multivariate mixed discrete data
genNB | Generate multivariate negative binomial data
GetGpoisPMF | Get probability mass function of generalized Poisson distribution
QuantileGpois | Compute the quantile function of the generalized Poisson distribution
simBinaryCorr.B | Compute intermediate binary correlations for multivariate binomial data
simBinaryCorr.GPD | Compute intermediate binary correlations for multivariate generalized Poisson data
simBinaryCorr.Mix | Calculate intermediate binary correlations for mixed data
simBinaryCorr.NB | Compute intermediate binary correlations for multivariate negative binomial data
validation.Bparameters | Validate binomial parameters are within feasible ranges
validation.GPDparameters | Validate generalized Poisson parameters are within feasible ranges
validation.NBparameters | Validate if the input negative binomial parameters are within feasible range