Package: PoisBinOrdNor 1.6.3

PoisBinOrdNor: Data Generation with Poisson, Binary, Ordinal and Normal Components

Generation of multiple count, binary, ordinal and normal variables simultaneously given the marginal characteristics and association structure. The details of the method are explained in Demirtas et al. (2012) <doi:10.1002/sim.5362>.

Authors:Hakan Demirtas, Yiran Hu, Rawan Allozi, Ran Gao

PoisBinOrdNor_1.6.3.tar.gz
PoisBinOrdNor_1.6.3.zip(r-4.7)PoisBinOrdNor_1.6.3.zip(r-4.6)PoisBinOrdNor_1.6.3.zip(r-4.5)
PoisBinOrdNor_1.6.3.tgz(r-4.6-any)PoisBinOrdNor_1.6.3.tgz(r-4.5-any)
PoisBinOrdNor_1.6.3.tar.gz(r-4.7-any)PoisBinOrdNor_1.6.3.tar.gz(r-4.6-any)
PoisBinOrdNor_1.6.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
PoisBinOrdNor/json (API)

# Install 'PoisBinOrdNor' in R:
install.packages('PoisBinOrdNor', repos = c('https://bernice0321.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.52 score 1 packages 11 scripts 243 downloads 10 exports 15 dependencies

Last updated from:64162515fd. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK132
source / vignettesOK143
linux-release-x86_64OK126
macos-release-arm64OK115
macos-oldrel-arm64OK106
windows-develOK90
windows-releaseOK87
windows-oldrelOK83
wasm-releaseOK103

Exports:corr.nn4bbcorr.nn4bncorr.nn4oncorr.nn4pbocorr.nn4pncorr.nn4ppgenPBONdataintermatvalidation_specsvalidation.specs

Dependencies:bbmlebdsmatrixcorpcorcubatureGenOrdGPArotationlatticeMASSMatrixmnormtmvtnormnlmenumDerivpsychRcpp