Simultaneous Generation of Multivariate Binary and Normal Variates
A package for simultaneous generation of binary and normal data.
Computes intermediate correlation matrix
Generates a mix of binary and normal data
Converts a vector of correlations to a full correlation matrix
Repeats the data generation process in a simulation scheme
Validates the marginal specification of the binary part
Validates the specified correlation matrix
Validates the marginal specification of the normal part
Checks if the correlation terms are within the feasible range
Generating multiple binary and normal variables simultaneously given marginal characteristics and association structure based on the methodology proposed by Demirtas and Doganay (2012) <DOI:10.1080/10543406.2010.521874>.