Generate Multivariate Discrete Data

---

Documentation for package ‘MultiDiscreteRNG’ version 0.1.0

• DESCRIPTION file.
• Package NEWS.

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