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-4.5)PoisNonNor_1.6.3.zip(r-4.4)PoisNonNor_1.6.3.zip(r-4.3)
PoisNonNor_1.6.3.tgz(r-4.5-any)PoisNonNor_1.6.3.tgz(r-4.4-any)PoisNonNor_1.6.3.tgz(r-4.3-any)
PoisNonNor_1.6.3.tar.gz(r-4.5-noble)PoisNonNor_1.6.3.tar.gz(r-4.4-noble)
PoisNonNor_1.6.3.tgz(r-4.4-emscripten)PoisNonNor_1.6.3.tgz(r-4.3-emscripten)
PoisNonNor.pdf |PoisNonNor.html✨
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 244 downloads 12 exports 6 dependencies

Last updated 4 years agofrom:df47cdab49. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 01 2025
R-4.5-winOKApr 01 2025
R-4.5-macOKApr 01 2025
R-4.5-linuxOKApr 01 2025
R-4.4-winOKApr 01 2025
R-4.4-macOKApr 01 2025
R-4.4-linuxOKApr 01 2025
R-4.3-winOKApr 01 2025
R-4.3-macOKApr 01 2025

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

Dependencies:BBcorpcorlatticeMASSMatrixquadprog