Package: PoisBinOrd 1.4.3
PoisBinOrd: Data Generation with Poisson, Binary and Ordinal Components
Generation of multiple count, binary and ordinal variables simultaneously given the marginal characteristics and association structure. Throughout the package, the word 'Poisson' is used to imply count data under the assumption of Poisson distribution. The details of the method are explained in Amatya, A. and Demirtas, H. (2015) <doi:10.1080/00949655.2014.953534>.
Authors:
PoisBinOrd_1.4.3.tar.gz
PoisBinOrd_1.4.3.zip(r-4.5)PoisBinOrd_1.4.3.zip(r-4.4)PoisBinOrd_1.4.3.zip(r-4.3)
PoisBinOrd_1.4.3.tgz(r-4.4-any)PoisBinOrd_1.4.3.tgz(r-4.3-any)
PoisBinOrd_1.4.3.tar.gz(r-4.5-noble)PoisBinOrd_1.4.3.tar.gz(r-4.4-noble)
PoisBinOrd_1.4.3.tgz(r-4.4-emscripten)PoisBinOrd_1.4.3.tgz(r-4.3-emscripten)
PoisBinOrd.pdf |PoisBinOrd.html✨
PoisBinOrd/json (API)
# Install 'PoisBinOrd' in R: |
install.packages('PoisBinOrd', 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:f69ccb571f. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 18 2024 |
R-4.5-win | OK | Nov 18 2024 |
R-4.5-linux | OK | Nov 18 2024 |
R-4.4-win | OK | Nov 18 2024 |
R-4.4-mac | OK | Nov 18 2024 |
R-4.3-win | OK | Nov 18 2024 |
R-4.3-mac | OK | Nov 18 2024 |
Exports:correlation.bound.checkcorrelation.limitsgen.PoisBinOrdintermediate.corr.BOintermediate.corr.PBOintermediate.corr.PPoverall.corr.matvalidation.binvalidation.corrvalidation.ord