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-4.7)BinOrdNonNor_1.5.2.zip(r-4.6)BinOrdNonNor_1.5.2.zip(r-4.5)
BinOrdNonNor_1.5.2.tgz(r-4.6-any)BinOrdNonNor_1.5.2.tgz(r-4.5-any)
BinOrdNonNor_1.5.2.tar.gz(r-4.7-any)BinOrdNonNor_1.5.2.tar.gz(r-4.6-any)
BinOrdNonNor_1.5.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:90f40f26f2. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 137 | ||
| source / vignettes | OK | 166 | ||
| linux-release-x86_64 | OK | 132 | ||
| macos-release-arm64 | OK | 110 | ||
| macos-oldrel-arm64 | OK | 118 | ||
| windows-devel | OK | 88 | ||
| windows-release | OK | 90 | ||
| windows-oldrel | OK | 98 | ||
| wasm-release | OK | 103 |
Exports:cmat.star.BinOrdNNFleishman.coef.NNgenBinOrdNNIntermediateNonNorIntermediateONNLimit_forNNLimit_forONNLimitforNNLimitforONNvalid.limits.BinOrdNNvalidate.target.cormat.BinOrdNN
Dependencies:BBbbmlebdsmatrixcorpcorcubatureGenOrdlatticeMASSMatrixmvtnormnumDerivOrdNorquadprogRcpp
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 |
