Package: MultiOrd 2.4.4

MultiOrd: Generation of Multivariate Ordinal Variates

A method for multivariate ordinal data generation given marginal distributions and correlation matrix based on the methodology proposed by Demirtas (2006) <doi:10.1080/10629360600569246>.

Authors:Anup Amatya [aut], Hakan Demirtas [aut], Ran Gao [aut, cre]

MultiOrd_2.4.4.tar.gz
MultiOrd_2.4.4.zip(r-4.7-any)MultiOrd_2.4.4.zip(r-4.6-any)MultiOrd_2.4.4.zip(r-4.5-any)
MultiOrd_2.4.4.tgz(r-4.6-any)MultiOrd_2.4.4.tgz(r-4.5-any)
MultiOrd_2.4.4.tar.gz(r-4.7-any)MultiOrd_2.4.4.tar.gz(r-4.6-any)
MultiOrd_2.4.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MultiOrd/json (API)

# Install 'MultiOrd' in R:
install.packages('MultiOrd', 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.

1.78 score 2 packages 8 scripts 375 downloads 9 exports 8 dependencies

Last updated from:53d8cbcc10. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK103
source / vignettesOK134
linux-releaseOK101
macos-releaseOK110
macos-oldrelOK127
windows-develOK92
windows-releaseOK91
windows-oldrelOK72
wasm-releaseOK84

Exports:BinToOrdcompute.sigma.starconformity.Checkfind.binary.probgenerate.binarygenOrdsimBinCorrvalidation.CorrMatvalidation.ordPmat

Dependencies:corpcorGPArotationlatticeMatrixmnormtmvtnormnlmepsych