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PoisBinOrdNor (version 1.6.1)
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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Install
install.packages('PoisBinOrdNor')
Monthly Downloads
267
Version
1.6.1
License
GPL-2 | GPL-3
Maintainer
Ran Gao
Last Published
May 15th, 2019
Functions in PoisBinOrdNor (1.6.1)
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corr.nn4pn
Finds the underlying bivariate normal correlation given the correlation for a count-normal pair.
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.
intermat
Calculates and assembles the intermediate correlation matrix entries for the multivariate normal data.
validation.specs
Validates user-specified parameters
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.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