BinNor-package: A package for simultaneous generation of binary and normal...
In BinNor: Simultaneous Generation of Multivariate Binary and Normal Variates

Description Details Author(s) References

Provides R functions for generating multiple binary and normal variables simultaneously given the marginal characteristics and association structure via combining well established results from the random number generation literature, based on the methodology proposed by Demirtas and Doganay (2012).

Package:	BinNor
Type:	Package
Version:	2.3.3
Date:	2021-03-05
License:	GPL-2
LazyLoad:	yes

There are eight functions in this package. The functions lower.tri.to.corr.mat,
validation.bin, validation.nor, validation.range and validation.nor are designed to prevent obvious specification errors and to validate the specified quantities. The most important functions are compute.sigma.star, jointly.generate.binary.normal and simulation. The function compute.sigma.star computes the matrix of tetrachoric correlations that will be used in the generation of multivariate normal data whose some components are dichotomized to obtain binary variables. The function jointly.generate.binary.normal generates mixed data, and the function simulation is capable of repating this process many times and produces averages of some key statistical quantities across replications.

Anup Amatya, Hakan Demirtas, Ran Gao

Maintainer: Ran Gao <rgao8@uic.edu>

Demirtas, H., Doganay, B. (2012). Simultaneous generation of binary and normal data with specified marginal and association structures. Journal of Biopharmaceutical Statistics; 22(2), 223-236.

Demirtas, H., Amatya, A., and Doganay, B. (2014). BinNor: An R package for con-current generation of binary and normal data. Communications in Statistic-Simulation and Computation; 43(3), 569-579.

BinNor documentation built on March 6, 2021, 1:08 a.m.