PoisBinOrdNor v1.0
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by Yiran Hu
Data Generation with Poisson, Binary, Ordinal and Normal Components
Generation of multiple count, binary, ordinal and normal variables simultaneously given the marginal characteristics and association structure.
Functions in PoisBinOrdNor
| Name | Description | |
| corr.nn4pbo | Finds the underlying bivariate normal correlation given the correlation for a count-binary or count-ordinal pair. | |
| validation_specs | Validates user-specified parameters | |
| corr.nn4pp | Finds the underlying bivariate normal correlation given the correlation for a pair of count variables. | |
| PoisBinOrdNor-package | Data Generation with Count, Binary, Ordinal and Normal Components | |
| corr.nn4on | Finds polyserial correlation for given the correlation for an ordinal-normal pair. | |
| corr.nn4bb | Finds the tetrachoric correlation based on user-specified correlation between binary variables. | |
| intermat | Calculates and assembles the intermediate correlation matrix entries for the multivariate normal data. | |
| corr.nn4bn | Finds the biserial correlation given the correlation for a binary-normal pair. | |
| genPBONdata | Generates correlated data with multiple count, binary, ordinal and normal variables | |
| corr.nn4pn | Finds the underlying bivariate normal correlation given the correlation for a count-normal pair. | |
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[](http://www.rdocumentation.org/packages/PoisBinOrdNor)