Package: PoisBinOrdNonNor 1.5.3
PoisBinOrdNonNor: Generation of Up to Four Different Types of Variables
Generation of a chosen number of count, binary, ordinal, and continuous random variables, with specified correlations and marginal properties. The details of the method are explained in Demirtas (2012) <doi:10.1002/sim.5362>.
Authors:
PoisBinOrdNonNor_1.5.3.tar.gz
PoisBinOrdNonNor_1.5.3.zip(r-4.7)PoisBinOrdNonNor_1.5.3.zip(r-4.6)PoisBinOrdNonNor_1.5.3.zip(r-4.5)
PoisBinOrdNonNor_1.5.3.tgz(r-4.6-any)PoisBinOrdNonNor_1.5.3.tgz(r-4.5-any)
PoisBinOrdNonNor_1.5.3.tar.gz(r-4.7-any)PoisBinOrdNonNor_1.5.3.tar.gz(r-4.6-any)
PoisBinOrdNonNor_1.5.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
PoisBinOrdNonNor/json (API)
| # Install 'PoisBinOrdNonNor' in R: |
| install.packages('PoisBinOrdNonNor', 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:466f56b535. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 134 | ||
| source / vignettes | OK | 162 | ||
| linux-release-x86_64 | OK | 131 | ||
| macos-release-arm64 | OK | 95 | ||
| macos-oldrel-arm64 | OK | 112 | ||
| windows-devel | OK | 94 | ||
| windows-release | OK | 96 | ||
| windows-oldrel | OK | 80 | ||
| wasm-release | OK | 95 |
Exports:check.paramsfind.cor.mat.stargenPBONNlower.upper.corsvalidate.cor.mat
Dependencies:BBbbmlebdsmatrixcorpcorcubatureGenOrdlatticeMASSMatrixmvtnormnumDerivquadprogRcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generation of up to Four Different Types of Variables | PoisBinOrdNonNor-package PoisBinOrdNonNor |
| Validates the adjusted marginal parameter lists | check.params |
| Finds intermediate correlation matrix | find.cor.mat.star |
| Engine (generation) function for the PoisBinOrdNonNor package | genPBONN |
| Computes lower and upper correlation bounds | lower.upper.cors |
| Validates the target correlation matrix | validate.cor.mat |
