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
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PoisNor.pdf |PoisNor.html
PoisNor/json (API)

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

Peer review:

On CRAN:

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

6 exports 0.00 score 4 dependencies 10 scripts 271 downloads

Last updated 3 years agofrom:fd45a990c7. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 26 2024
R-4.5-winOKAug 26 2024
R-4.5-linuxOKAug 26 2024
R-4.4-winOKAug 26 2024
R-4.4-macOKAug 26 2024
R-4.3-winOKAug 26 2024
R-4.3-macOKAug 26 2024

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

Dependencies:corpcorlatticeMatrixmvtnorm