Package: BinNonNor 1.5.3
BinNonNor: Data Generation with Binary and Continuous Non-Normal Components
Generation of multiple binary and continuous non-normal variables simultaneously given the marginal characteristics and association structure based on the methodology proposed by Demirtas et al. (2012) <doi:10.1002/sim.5362>.
Authors:
BinNonNor_1.5.3.tar.gz
BinNonNor_1.5.3.zip(r-4.5)BinNonNor_1.5.3.zip(r-4.4)BinNonNor_1.5.3.zip(r-4.3)
BinNonNor_1.5.3.tgz(r-4.4-any)BinNonNor_1.5.3.tgz(r-4.3-any)
BinNonNor_1.5.3.tar.gz(r-4.5-noble)BinNonNor_1.5.3.tar.gz(r-4.4-noble)
BinNonNor_1.5.3.tgz(r-4.4-emscripten)BinNonNor_1.5.3.tgz(r-4.3-emscripten)
BinNonNor.pdf |BinNonNor.html✨
BinNonNor/json (API)
# Install 'BinNonNor' in R: |
install.packages('BinNonNor', 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:90827c3390. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 23 2024 |
R-4.5-win | OK | Nov 23 2024 |
R-4.5-linux | OK | Nov 23 2024 |
R-4.4-win | OK | Nov 23 2024 |
R-4.4-mac | OK | Nov 23 2024 |
R-4.3-win | OK | Nov 23 2024 |
R-4.3-mac | OK | Nov 23 2024 |
Exports:Biserial.Corr.BNcorrelation.bound.checkcorrelation.limitsfleishman.coefgen.Bin.NonNorInt.Corr.NNoverall.corr.matTetra.Corr.BBvalidation.binvalidation.corrvalidation.skewness.kurtosis