Package: PoisNor 1.3.3

PoisNor: Simultaneous Generation of Multivariate Data with Poisson and Normal Marginals

Generates multivariate data with count and continuous variables with a pre-specified correlation matrix. The count and continuous variables are assumed to have Poisson and normal marginals, respectively. The data generation mechanism is a combination of the normal to anything principle and a connection between Poisson and normal correlations in the mixture. The details of the method are explained in Yahav et al. (2012) <doi:10.1002/asmb.901>.

Authors:Anup Amatya, Hakan Demirtas, Ran Gao

PoisNor_1.3.3.tar.gz
PoisNor_1.3.3.zip(r-4.7)PoisNor_1.3.3.zip(r-4.6)PoisNor_1.3.3.zip(r-4.5)
PoisNor_1.3.3.tgz(r-4.6-any)PoisNor_1.3.3.tgz(r-4.5-any)
PoisNor_1.3.3.tar.gz(r-4.7-any)PoisNor_1.3.3.tar.gz(r-4.6-any)
PoisNor_1.3.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
PoisNor/json (API)

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

1.04 score 11 scripts 257 downloads 6 exports 4 dependencies

Last updated from:fd45a990c7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK115
source / vignettesOK147
linux-release-x86_64OK129
macos-release-arm64OK71
macos-oldrel-arm64OK94
windows-develOK73
windows-releaseOK70
windows-oldrelOK65
wasm-releaseOK91

Exports:cmat.starCor.PN.LimitCor.PP.LimitgenPoisNorValid.correlationValidate.correlation

Dependencies:corpcorlatticeMatrixmvtnorm