Package: PoisBinNonNor 1.3.3
PoisBinNonNor: Data Generation with Poisson, Binary and Continuous Components
Generation of multiple count, binary and continuous 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 et al. (2015) <doi:10.1080/00949655.2014.953534>.
Authors:
PoisBinNonNor_1.3.3.tar.gz
PoisBinNonNor_1.3.3.zip(r-4.5)PoisBinNonNor_1.3.3.zip(r-4.4)PoisBinNonNor_1.3.3.zip(r-4.3)
PoisBinNonNor_1.3.3.tgz(r-4.4-any)PoisBinNonNor_1.3.3.tgz(r-4.3-any)
PoisBinNonNor_1.3.3.tar.gz(r-4.5-noble)PoisBinNonNor_1.3.3.tar.gz(r-4.4-noble)
PoisBinNonNor_1.3.3.tgz(r-4.4-emscripten)PoisBinNonNor_1.3.3.tgz(r-4.3-emscripten)
PoisBinNonNor.pdf |PoisBinNonNor.html✨
PoisBinNonNor/json (API)
# Install 'PoisBinNonNor' in R: |
install.packages('PoisBinNonNor', 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:c70434217b. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 31 2024 |
R-4.4-win | OK | Oct 31 2024 |
R-4.4-mac | OK | Oct 31 2024 |
R-4.3-win | OK | Oct 31 2024 |
R-4.3-mac | OK | Oct 31 2024 |
Exports:correlation.bound.checkcorrelation.limitsfleishman.coefgen.PoisBinNonNorintermediate.corr.BBintermediate.corr.BCintermediate.corr.CCintermediate.corr.PBintermediate.corr.PCintermediate.corr.PPoverall.corr.matvalidation.binvalidation.corrvalidation.skewness.kurtosis