PoisBinOrdNor v1.3

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by Rawan Allozi

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
genPBONdata Generates correlated data with multiple count, binary, ordinal and normal variables
corr.nn4bn Finds the biserial correlation given the correlation for a binary-normal pair.
corr.nn4pbo Finds the underlying bivariate normal correlation given the correlation for a count-binary or count-ordinal pair.
corr.nn4on Finds polyserial correlation for given the correlation for an ordinal-normal pair.
validation_specs Validates user-specified parameters
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.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
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Details

Type Package
Date 2017-01-25
License GPL-2 | GPL-3
NeedsCompilation no
Repository CRAN
Packaged 2017-01-25 18:30:22 UTC; rawanallozi
Date/Publication 2017-01-26 00:53:04

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