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PoisBinOrdNor (version 1.6.2)

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. The details of the method are explained in Demirtas et al. (2012) .

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Version

Install

install.packages('PoisBinOrdNor')

Monthly Downloads

236

Version

1.6.2

License

GPL-2 | GPL-3

Maintainer

Ran Gao

Last Published

May 23rd, 2020

Functions in PoisBinOrdNor (1.6.2)

validation.specs

Validates user-specified parameters
genPBONdata

Generates correlated data with multiple count, binary, ordinal and normal variables
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.
corr.nn4pp

Finds the underlying bivariate normal correlation given the correlation for a pair of count variables.
corr.nn4pn

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

Data Generation with Count, Binary, Ordinal and Normal Components
corr.nn4bn

Finds the biserial correlation given the correlation for a binary-normal pair.
corr.nn4bb

Finds the tetrachoric correlation based on user-specified correlation between binary variables.
corr.nn4on

Finds polyserial correlation for given the correlation for an ordinal-normal pair.