PoisBinOrdNor v1.5

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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
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.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
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.
intermat Calculates and assembles the intermediate correlation matrix entries for the multivariate normal data.
validation_specs Validates user-specified parameters
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Details

Type Package
Date 2018-01-10
License GPL-2 | GPL-3
NeedsCompilation no
Repository CRAN
Packaged 2018-01-10 15:34:41 UTC; rawanallozi
Date/Publication 2018-01-10 15:39:51 UTC

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