BinOrdNonNor (version 1.5.2)

Concurrent Generation of Binary, Ordinal and Continuous Data

Description

Generation of samples from a mix of binary, ordinal and continuous random variables with a pre-specified correlation matrix and marginal distributions. The details of the method are explained in Demirtas et al. (2012) .

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Version

Install

install.packages('BinOrdNonNor')

Monthly Downloads

270

Version

1.5.2

License

GPL-2 | GPL-3

Maintainer

Ran Gao

Last Published

March 21st, 2021

Functions in BinOrdNonNor (1.5.2)

IntermediateONN

Computes the intermediate (biserial/polyserial) correlations given the point-biserial/polyserial correlations for binary/ordinal-continuous pairs prior to dichotomization/ordinalization

BinOrdNonNor-package

Concurrent generation of binary, ordinal and continuous data

cmat.star.BinOrdNN

Computes the intermediate correlation matrix

LimitforNN

Finds the feasible correlation range for a pair of continuous variables

valid.limits.BinOrdNN

Computes the lower and upper bounds of correlation in the form of two matrices

genBinOrdNN

Generates a data set with binary, ordinal and continuous variables

IntermediateNonNor

Computes the intermediate correlations for all continuous pairs

Fleishman.coef.NN

Computes the Fleishman coefficients for each continuous variable

LimitforONN

Finds the feasible correlation range for a pair of binary/ordinal and continuous variables

validate.target.cormat.BinOrdNN

Checks the validity of the target correlation matrix