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BinNonNor (version 1.5.3)

Data Generation with Binary and Continuous Non-Normal Components

Description

Generation of multiple binary and continuous non-normal variables simultaneously given the marginal characteristics and association structure based on the methodology proposed by Demirtas et al. (2012) .

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Install

install.packages('BinNonNor')

Monthly Downloads

322

Version

1.5.3

License

GPL-2 | GPL-3

Maintainer

Ran Gao

Last Published

March 22nd, 2021

Functions in BinNonNor (1.5.3)

correlation.limits

Computes lower and upper correlation bounds for each pair of variables
BinNonNor-package

Data Generation with Binary and Continuous Non-Normal Components
overall.corr.mat

Computes the final correlation matrix
correlation.bound.check

Checks if the pairwise correlation among variables are within the feasible range
fleishman.coef

Computes the coefficients of Fleishman third order polynomials
gen.Bin.NonNor

Simulates a sample of size n from a set of multivariate binary and continuous non-normal variables
Biserial.Corr.BN

Computes the biserial correlation matrix for binary and continuous non-normal variables given the specified correlation matrix
Int.Corr.NN

Computes an intermediate correlation matrix for continuous non-normal variables given the specified correlation matrix
validation.bin

Validates the marginal specification of the binary variables
Tetra.Corr.BB

Computes the tetrachoric correlation matrix for binary variables given the specified correlation matrix
validation.corr

Validates the specified correlation matrix
validation.skewness.kurtosis

Validates the marginal specification of the continuous non-normal variables