Package: PoisNonNor 1.6.3

PoisNonNor: Simultaneous Generation of Count and Continuous Data

Generation of count (assuming Poisson distribution) and continuous data (using Fleishman polynomials) simultaneously. The details of the method are explained in Demirtas et al. (2012) <doi:10.1002/sim.5362>.

Authors:Hakan Demirtas, Yaru Shi, Rawan Allozi, Ran Gao

PoisNonNor_1.6.3.tar.gz
PoisNonNor_1.6.3.zip(r-4.7)PoisNonNor_1.6.3.zip(r-4.6)PoisNonNor_1.6.3.zip(r-4.5)
PoisNonNor_1.6.3.tgz(r-4.6-any)PoisNonNor_1.6.3.tgz(r-4.5-any)
PoisNonNor_1.6.3.tar.gz(r-4.7-any)PoisNonNor_1.6.3.tar.gz(r-4.6-any)
PoisNonNor_1.6.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
PoisNonNor/json (API)

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

1.48 score 1 packages 10 scripts 243 downloads 12 exports 6 dependencies

Last updated from:df47cdab49. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK114
source / vignettesOK144
linux-release-x86_64OK115
macos-release-arm64OK130
macos-oldrel-arm64OK94
windows-develOK74
windows-releaseOK67
windows-oldrelOK76
wasm-releaseOK91

Exports:bounds.corr.GSC.NNbounds.corr.GSC.NNPbounds.corr.GSC.PPfleishman.rootsintercor.allintercor.NNintercor.NNPintercor.PPParam.fleishmanRNG_P_NNRNG.P.NNValidate.correlation

Dependencies:BBcorpcorlatticeMASSMatrixquadprog