Package: PoisBinOrd 1.4.3

PoisBinOrd: Data Generation with Poisson, Binary and Ordinal Components

Generation of multiple count, binary and ordinal variables simultaneously given the marginal characteristics and association structure. Throughout the package, the word 'Poisson' is used to imply count data under the assumption of Poisson distribution. The details of the method are explained in Amatya, A. and Demirtas, H. (2015) <doi:10.1080/00949655.2014.953534>.

Authors:Gul Inan, Hakan Demirtas, Ran Gao

PoisBinOrd_1.4.3.tar.gz
PoisBinOrd_1.4.3.zip(r-4.7-any)PoisBinOrd_1.4.3.zip(r-4.6-any)PoisBinOrd_1.4.3.zip(r-4.5-any)
PoisBinOrd_1.4.3.tgz(r-4.6-any)PoisBinOrd_1.4.3.tgz(r-4.5-any)
PoisBinOrd_1.4.3.tar.gz(r-4.7-any)PoisBinOrd_1.4.3.tar.gz(r-4.6-any)
PoisBinOrd_1.4.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PoisBinOrd/json (API)

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

1.08 score 12 scripts 267 downloads 1 mentions 10 exports 11 dependencies

Last updated from:f69ccb571f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK120
source / vignettesOK138
linux-releaseOK111
macos-releaseOK114
macos-oldrelOK159
windows-develOK69
windows-releaseOK92
windows-oldrelOK80
wasm-releaseOK101

Exports:correlation.bound.checkcorrelation.limitsgen.PoisBinOrdintermediate.corr.BOintermediate.corr.PBOintermediate.corr.PPoverall.corr.matvalidation.binvalidation.corrvalidation.ord

Dependencies:bbmlebdsmatrixcorpcorcubatureGenOrdlatticeMASSMatrixmvtnormnumDerivRcpp