R: Data Generation with Poisson, Binary, Ordinal and Normal Components

# Data Generation with Poisson, Binary, Ordinal and Normal Components

## Documentation for package ‘PoisBinOrdNor’ version 1.6.3

- DESCRIPTION file

## Help Pages

PoisBinOrdNor-package | Data Generation with Count, Binary, Ordinal and Normal Components
corr.nn4bb | Finds the tetrachoric correlation based on user-specified correlation between binary variables.
corr.nn4bn | Finds the biserial correlation given the correlation for a binary-normal pair.
corr.nn4on | Finds polyserial correlation for given the correlation for an ordinal-normal pair.
corr.nn4pbo | Finds the underlying bivariate normal correlation given the correlation for a count-binary or count-ordinal pair.
corr.nn4pn | Finds the underlying bivariate normal correlation given the correlation for a count-normal pair.
corr.nn4pp | Finds the underlying bivariate normal correlation given the correlation for a pair of count variables.
genPBONdata | Generates correlated data with multiple count, binary, ordinal and normal variables
intermat | Calculates and assembles the intermediate correlation matrix entries for the multivariate normal data.
PoisBinOrdNor | Data Generation with Count, Binary, Ordinal and Normal Components
validation.specs | Validates user-specified parameters
validation_specs | Validates user-specified parameters