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PoisBinOrdNor (version 1.6.1)

Data Generation with Poisson, Binary, Ordinal and Normal Components

Description

Generation of multiple count, binary, ordinal and normal variables simultaneously given the marginal characteristics and association structure.

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Version

Install

install.packages('PoisBinOrdNor')

Monthly Downloads

236

Version

1.6.1

License

GPL-2 | GPL-3

Maintainer

Ran Gao

Last Published

May 15th, 2019

Functions in PoisBinOrdNor (1.6.1)

corr.nn4pn

Finds the underlying bivariate normal correlation given the correlation for a count-normal pair.
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.
intermat

Calculates and assembles the intermediate correlation matrix entries for the multivariate normal data.
validation.specs

Validates user-specified parameters
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.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