Package: BinNor 2.3.3
BinNor: Simultaneous Generation of Multivariate Binary and Normal Variates
Generating multiple binary and normal variables simultaneously given marginal characteristics and association structure based on the methodology proposed by Demirtas and Doganay (2012) <doi:10.1080/10543406.2010.521874>.
Authors:
BinNor_2.3.3.tar.gz
BinNor_2.3.3.zip(r-4.5)BinNor_2.3.3.zip(r-4.4)BinNor_2.3.3.zip(r-4.3)
BinNor_2.3.3.tgz(r-4.4-any)BinNor_2.3.3.tgz(r-4.3-any)
BinNor_2.3.3.tar.gz(r-4.5-noble)BinNor_2.3.3.tar.gz(r-4.4-noble)
BinNor_2.3.3.tgz(r-4.4-emscripten)BinNor_2.3.3.tgz(r-4.3-emscripten)
BinNor.pdf |BinNor.html✨
BinNor/json (API)
| # Install 'BinNor' in R: |
| install.packages('BinNor', 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:50b6183f6e. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 25 2024 |
| R-4.5-win | NOTE | Oct 25 2024 |
| R-4.5-linux | NOTE | Oct 25 2024 |
| R-4.4-win | OK | Oct 25 2024 |
| R-4.4-mac | OK | Oct 25 2024 |
| R-4.3-win | OK | Oct 25 2024 |
| R-4.3-mac | OK | Oct 25 2024 |
Exports:compute.sigma.starjointly.generate.binary.normallower.tri.to.corr.matsimulationvalidation.binvalidation.corrvalidation.norvalidation.range
Dependencies:corpcorGPArotationlatticeMatrixmnormtmvtnormnlmepsych
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| A package for simultaneous generation of binary and normal data. | BinNor-package BinNor |
| Computes intermediate correlation matrix | compute.sigma.star |
| Generates a mix of binary and normal data | jointly.generate.binary.normal |
| Converts a vector of correlations to a full correlation matrix | lower.tri.to.corr.mat |
| Repeats the data generation process in a simulation scheme | simulation |
| Validates the marginal specification of the binary part | validation.bin |
| Validates the specified correlation matrix | validation.corr |
| Validates the marginal specification of the normal part | validation.nor |
| Checks if the correlation terms are within the feasible range | validation.range |
