OrdNor-package {OrdNor} | R Documentation |
Concurrently generates ordinal and normal variables with a specified correlation matrix and marginal distributions
Description
The package implements a procedure for concurrently generating samples from ordinal and normal random variables with a pre-specified correlation matrix and marginal distributions. It is accomplished by first calculating an intermediate correlations (cmat.star
) which is used to generate a sample from multivariate normal distribution. Then, the first few components (corresponding to number of ordinal variables) are ordinalized. The resulting data are composed of a mixture of ordinal and normal variables that conform with a pre-specified marginal distributions and correlation structure. The function valid.limits
returns the lower and upper bounds of the correlation coefficients of ordinal-ordinal (OO) and ordinal-normal (ON) pairs given their marginal distributions, i.e. returns the range of feasible pairwise correlations. The function validate.target.cormat
checks the validity of the values of pairwise correlations. Additionally, it checks positive definitiveness, symmetry and correct dimension. The engine function genOrdNor
generates mixed data in accordance with the specified marginal and correlational quantities.
Details
Package: | OrdNor |
Type: | Package |
Version: | 2.2.3 |
Date: | 2021-03-05 |
License: | GPL |
Author(s)
Anup Amatya, Hakan Demirtas, Ran Gao
Maintainer: Ran Gao <rgao8@uic.edu>