Package: CorBin 1.0.0
CorBin: Generate High-Dimensional Binary Data with Correlation Structures
We design algorithms with linear time complexity with respect to the dimension for three commonly studied correlation structures, including exchangeable, decaying-product and K-dependent correlation structures, and extend the algorithms to generate binary data of general non-negative correlation matrices with quadratic time complexity. Jiang, W., Song, S., Hou, L. and Zhao, H. "A set of efficient methods to generate high-dimensional binary data with specified correlation structures." The American Statistician. See <doi:10.1080/00031305.2020.1816213> for a detailed presentation of the method.
Authors:
CorBin_1.0.0.tar.gz
CorBin_1.0.0.zip(r-4.7)CorBin_1.0.0.zip(r-4.6)CorBin_1.0.0.zip(r-4.5)
CorBin_1.0.0.tgz(r-4.6-any)CorBin_1.0.0.tgz(r-4.5-any)
CorBin_1.0.0.tar.gz(r-4.7-any)CorBin_1.0.0.tar.gz(r-4.6-any)
CorBin_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CorBin/json (API)
| # Install 'CorBin' in R: |
| install.packages('CorBin', repos = c('https://shuangsong0110.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:1cf63d450f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 98 | ||
| source / vignettes | OK | 150 | ||
| linux-release-x86_64 | OK | 82 | ||
| macos-release-arm64 | OK | 107 | ||
| macos-oldrel-arm64 | OK | 177 | ||
| windows-devel | OK | 54 | ||
| windows-release | OK | 69 | ||
| windows-oldrel | OK | 94 | ||
| wasm-release | OK | 88 |
Exports:cBerncBern1depcBernDCPcBernExrhoMax1deprhoMaxDCPrhoMaxEx
Dependencies:
