BinNor: Simultaneous Generation of Multivariate Binary and Normal Variates

Generating multiple binary and normal variables simultaneously given marginal characteristics and association structure based on the methodology proposed by Demirtas and Doganay (2012).

Author
Anup Amatya, Hakan Demirtas
Date of publication
2016-05-27 19:20:25
Maintainer
Anup Amatya <aamatya@nmsu.edu>
License
GPL-2
Version
2.1

View on CRAN

Man pages

BinNor-package
A package for simultaneous generation of binary and normal...
compute.sigma.star
Computes intermediate (tetrachoric) correlation matrix
jointly.generate.binary.normal
Generates mixed data
lower.tri.to.corr.mat
Converts a lower vector to a full correlation matrix
simulation
Repeats the data generation process in a simulation scheme
validation.bin
Validates the marginal specification of the binary part
validation.corr
Validates the specified correlation matrix
validation.nor
Validates the marginal specification of the normal part
validation.range
Checks if the correlation terms are within the feasible range

Files in this package

BinNor
BinNor/NAMESPACE
BinNor/R
BinNor/R/validation.range.R
BinNor/R/lower.tri.to.corr.mat.R
BinNor/R/jointly.generate.binary.normal.R
BinNor/R/validation.corr.R
BinNor/R/validation.nor.R
BinNor/R/compute.sigma.star.R
BinNor/R/simulation.R
BinNor/R/validation.bin.R
BinNor/MD5
BinNor/DESCRIPTION
BinNor/man
BinNor/man/simulation.Rd
BinNor/man/compute.sigma.star.Rd
BinNor/man/validation.corr.Rd
BinNor/man/validation.range.Rd
BinNor/man/validation.bin.Rd
BinNor/man/jointly.generate.binary.normal.Rd
BinNor/man/validation.nor.Rd
BinNor/man/BinNor-package.Rd
BinNor/man/lower.tri.to.corr.mat.Rd