PoisBinOrdNor v1.1

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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.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.
corr.nn4bn	Finds the biserial correlation given the correlation for a binary-normal pair.
PoisBinOrdNor-package	Data Generation with Count, Binary, Ordinal and Normal Components
genPBONdata	Generates correlated data with multiple count, binary, ordinal and normal variables
validation_specs	Validates user-specified parameters
corr.nn4pp	Finds the underlying bivariate normal correlation given the correlation for a pair of count 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.nn4pn	Finds the underlying bivariate normal correlation given the correlation for a count-normal pair.
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Details

Type	Package
Date	2016-02-14
License	GPL (>= 2)
NeedsCompilation	no
Repository	CRAN
Packaged	2016-02-15 00:24:31 UTC; Bonnie
Date/Publication	2016-02-15 08:27:46

depends	corpcor , GenOrd , Matrix , mvtnorm , psych
Contributors	Hakan Demirtas, Yiran Hu

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