R: Data Generation with Binary and Continuous Non-Normal Components

# Data Generation with Binary and Continuous Non-Normal Components

## Documentation for package ‘BinNonNor’ version 1.5.3

- DESCRIPTION file

## Help Pages

BinNonNor-package | Data Generation with Binary and Continuous Non-Normal Components
BinNonNor | Data Generation with Binary and Continuous Non-Normal Components
Biserial.Corr.BN | Computes the biserial correlation matrix for binary and continuous non-normal variables given the specified correlation matrix
correlation.bound.check | Checks if the pairwise correlation among variables are within the feasible range
correlation.limits | Computes lower and upper correlation bounds for each pair of variables
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
Int.Corr.NN | Computes an intermediate correlation matrix for continuous non-normal variables given the specified correlation matrix
overall.corr.mat | Computes the final correlation matrix
Tetra.Corr.BB | Computes the tetrachoric correlation matrix for binary variables given the specified correlation matrix
validation.bin | Validates the marginal specification of the binary variables
validation.corr | Validates the specified correlation matrix
validation.skewness.kurtosis | Validates the marginal specification of the continuous non-normal variables