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-Forge:

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 338 downloads 12 exports 6 dependencies

Last updated 4 years agofrom:df47cdab49. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 02 2025
R-4.5-winOKMar 02 2025
R-4.5-macOKMar 02 2025
R-4.5-linuxOKMar 02 2025
R-4.4-winOKMar 02 2025
R-4.4-macOKMar 02 2025
R-4.3-winOKMar 02 2025
R-4.3-macOKMar 02 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