Package: CoinMinD 1.2.1
CoinMinD: Simultaneous Confidence Intervals for Multinomial Proportions
Several authors have proposed methods for constructing simultaneous confidence intervals for multinomial proportions. The package implements seven classical approaches—Wilson, Quesenberry and Hurst, Goodman, Wald (with and without continuity correction), Fitzpatrick and Scott, and Sison and Glaz—along with Bayesian methods based on Dirichlet models. Both equal and unequal Dirichlet priors are supported, providing a broad framework for inference, data analysis, and sensitivity evaluation.
Authors:
CoinMinD_1.2.1.tar.gz
CoinMinD_1.2.1.zip(r-4.7-any)CoinMinD_1.2.1.zip(r-4.6-any)CoinMinD_1.2.1.zip(r-4.5-any)
CoinMinD_1.2.1.tgz(r-4.6-any)CoinMinD_1.2.1.tgz(r-4.5-any)
CoinMinD_1.2.1.tar.gz(r-4.7-any)CoinMinD_1.2.1.tar.gz(r-4.6-any)
CoinMinD_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CoinMinD/json (API)
| # Install 'CoinMinD' in R: |
| install.packages('CoinMinD', repos = c('https://rudth.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:fcbfe5f1fe. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 108 | ||
| source / vignettes | OK | 136 | ||
| linux-release | OK | 127 | ||
| macos-release | OK | 187 | ||
| macos-oldrel | OK | 141 | ||
| windows-devel | OK | 144 | ||
| windows-release | OK | 80 | ||
| windows-oldrel | OK | 78 | ||
| wasm-release | OK | 96 |
Exports:BMDEBMDUFSGMQHSGWALDWALDCCWS
Dependencies:codalatticeMASSMatrixMatrixModelsmcmcMCMCpackquantregSparseMsurvival
