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OrdNor (version 2.2.3)

Concurrent Generation of Ordinal and Normal Data with Given Correlation Matrix and Marginal Distributions

Description

Implementation of a procedure for generating samples from a mixed distribution of ordinal and normal random variables with a pre-specified correlation matrix and marginal distributions. The details of the method are explained in Demirtas et al. (2015) .

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Version

Install

install.packages('OrdNor')

Monthly Downloads

297

Version

2.2.3

License

GPL

Maintainer

Ran Gao

Last Published

March 5th, 2021

Functions in OrdNor (2.2.3)

Concurrently generates ordinal and normal variables with a specified correlation matrix and marginal distributions

Computes the correlation of intermediate multivariate normal data before subsequent ordinalization

validate.target.cormat

Checks the target correlation matrix

Finds the feasible correlation range for a pair of ordinal variables

Finds the feasible correlation range for a pair of ordinal and normal variable

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

Checks the validity of ordinal probabilities

Generates a data set with ordinal and normal variables

Computes intermediate correlations for ordinal-ordinal pairs before ordinalization

Computes intermediate correlations for ordinal-normal pairs before ordinalization

Ordinalizes the standard normal variable