Package: PoisBinOrdNor 1.6.3
PoisBinOrdNor: Data Generation with Poisson, Binary, Ordinal and Normal Components
Generation of multiple count, binary, ordinal and normal variables simultaneously given the marginal characteristics and association structure. The details of the method are explained in Demirtas et al. (2012) <doi:10.1002/sim.5362>.
Authors:
PoisBinOrdNor_1.6.3.tar.gz
PoisBinOrdNor_1.6.3.zip(r-4.5)PoisBinOrdNor_1.6.3.zip(r-4.4)PoisBinOrdNor_1.6.3.zip(r-4.3)
PoisBinOrdNor_1.6.3.tgz(r-4.4-any)PoisBinOrdNor_1.6.3.tgz(r-4.3-any)
PoisBinOrdNor_1.6.3.tar.gz(r-4.5-noble)PoisBinOrdNor_1.6.3.tar.gz(r-4.4-noble)
PoisBinOrdNor_1.6.3.tgz(r-4.4-emscripten)PoisBinOrdNor_1.6.3.tgz(r-4.3-emscripten)
PoisBinOrdNor.pdf |PoisBinOrdNor.html✨
PoisBinOrdNor/json (API)
# Install 'PoisBinOrdNor' in R: |
install.packages('PoisBinOrdNor', repos = c('https://bernice0321.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:64162515fd. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 13 2024 |
R-4.5-win | OK | Nov 13 2024 |
R-4.5-linux | OK | Nov 13 2024 |
R-4.4-win | OK | Nov 13 2024 |
R-4.4-mac | OK | Nov 13 2024 |
R-4.3-win | OK | Nov 13 2024 |
R-4.3-mac | OK | Nov 13 2024 |
Exports:corr.nn4bbcorr.nn4bncorr.nn4oncorr.nn4pbocorr.nn4pncorr.nn4ppgenPBONdataintermatvalidation_specsvalidation.specs
Dependencies:corpcorGenOrdGPArotationlatticeMASSMatrixmnormtmvtnormnlmepsych