Package: BinOrdNonNor 1.5.2
BinOrdNonNor: Concurrent Generation of Binary, Ordinal and Continuous Data
Generation of samples from a mix of binary, ordinal and continuous random variables with a pre-specified correlation matrix and marginal distributions. The details of the method are explained in Demirtas et al. (2012) <doi:10.1002/sim.5362>.
Authors:
BinOrdNonNor_1.5.2.tar.gz
BinOrdNonNor_1.5.2.zip(r-4.5)BinOrdNonNor_1.5.2.zip(r-4.4)BinOrdNonNor_1.5.2.zip(r-4.3)
BinOrdNonNor_1.5.2.tgz(r-4.5-any)BinOrdNonNor_1.5.2.tgz(r-4.4-any)BinOrdNonNor_1.5.2.tgz(r-4.3-any)
BinOrdNonNor_1.5.2.tar.gz(r-4.5-noble)BinOrdNonNor_1.5.2.tar.gz(r-4.4-noble)
BinOrdNonNor_1.5.2.tgz(r-4.4-emscripten)BinOrdNonNor_1.5.2.tgz(r-4.3-emscripten)
BinOrdNonNor.pdf |BinOrdNonNor.html✨
BinOrdNonNor/json (API)
| # Install 'BinOrdNonNor' in R: |
| install.packages('BinOrdNonNor', 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:90f40f26f2. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 26 2025 |
| R-4.5-win | OK | Feb 26 2025 |
| R-4.5-mac | OK | Feb 26 2025 |
| R-4.5-linux | OK | Feb 26 2025 |
| R-4.4-win | OK | Feb 26 2025 |
| R-4.4-mac | OK | Feb 26 2025 |
| R-4.3-win | OK | Feb 26 2025 |
| R-4.3-mac | OK | Feb 26 2025 |
Exports:cmat.star.BinOrdNNFleishman.coef.NNgenBinOrdNNIntermediateNonNorIntermediateONNLimit_forNNLimit_forONNLimitforNNLimitforONNvalid.limits.BinOrdNNvalidate.target.cormat.BinOrdNN
Dependencies:BBcorpcorGenOrdlatticeMASSMatrixmvtnormOrdNorquadprog
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Concurrent generation of binary, ordinal and continuous data | BinOrdNonNor-package BinOrdNonNor |
| Computes the intermediate correlation matrix | cmat.star.BinOrdNN |
| Computes the Fleishman coefficients for each continuous variable | Fleishman.coef.NN |
| Generates a data set with binary, ordinal and continuous variables | genBinOrdNN |
| Computes the intermediate correlations for all continuous pairs | IntermediateNonNor |
| Computes the intermediate (biserial/polyserial) correlations given the point-biserial/polyserial correlations for binary/ordinal-continuous pairs prior to dichotomization/ordinalization | IntermediateONN |
| Finds the feasible correlation range for a pair of continuous variables | LimitforNN Limit_forNN |
| Finds the feasible correlation range for a pair of binary/ordinal and continuous variables | LimitforONN Limit_forONN |
| Computes the lower and upper bounds of correlation in the form of two matrices | valid.limits.BinOrdNN |
| Checks the validity of the target correlation matrix | validate.target.cormat.BinOrdNN |
