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PoisBinOrdNor (version 1.4)

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

192

Version

1.4

License

GPL-2 | GPL-3

Maintainer

Rawan Allozi

Last Published

March 28th, 2017

Functions in PoisBinOrdNor (1.4)

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.
validation_specs

Validates user-specified parameters