Package: BsMD 2023.920
BsMD: Bayes Screening and Model Discrimination
Bayes screening and model discrimination follow-up designs.
Authors:
BsMD_2023.920.tar.gz
BsMD_2023.920.zip(r-4.7-x86_64)BsMD_2023.920.zip(r-4.7-arm64)BsMD_2023.920.zip(r-4.6-x86_64)BsMD_2023.920.zip(r-4.6-arm64)BsMD_2023.920.zip(r-4.5-x86_64)
BsMD_2023.920.tgz(r-4.6-x86_64)BsMD_2023.920.tgz(r-4.6-arm64)BsMD_2023.920.tgz(r-4.5-x86_64)BsMD_2023.920.tgz(r-4.5-arm64)
BsMD_2023.920.tar.gz(r-4.7-arm64)BsMD_2023.920.tar.gz(r-4.7-x86_64)BsMD_2023.920.tar.gz(r-4.6-arm64)BsMD_2023.920.tar.gz(r-4.6-x86_64)
BsMD_2023.920.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BsMD/json (API)
| # Install 'BsMD' in R: |
| install.packages('BsMD', repos = c('https://ejbz.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- BM86.data - Data sets in Box and Meyer
- BM93.e1.data - Example 1 data in Box and Meyer
- BM93.e2.data - Example 2 data in Box and Meyer
- BM93.e3.data - Example 3 data in Box and Meyer
- PB12Des - 12-run Plackett-Burman Design Matrix
- Reactor.data - Reactor Experiment Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:50739f5190. Checks:14 OK, 1 WARNING. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 95 | ||
| linux-devel-x86_64 | OK | 107 | ||
| source / vignettes | OK | 191 | ||
| linux-release-arm64 | OK | 116 | ||
| linux-release-x86_64 | OK | 97 | ||
| macos-release-arm64 | OK | 104 | ||
| macos-release-x86_64 | OK | 157 | ||
| macos-oldrel-arm64 | OK | 102 | ||
| macos-oldrel-x86_64 | OK | 165 | ||
| windows-devel-arm64 | OK | 203 | ||
| windows-devel-x86_64 | OK | 127 | ||
| windows-release-arm64 | WARNING | 198 | ||
| windows-release-x86_64 | OK | 79 | ||
| windows-oldrel-x86_64 | OK | 70 | ||
| wasm-release | OK | 66 |
Exports:BsProbDanielPlotLenthPlotMD
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayes screening and model discrimination follow-up designs | BsMD-package BsMD |
| Data sets in Box and Meyer (1986) | BM86.data |
| Example 1 data in Box and Meyer (1993) | BM93.e1.data |
| Example 2 data in Box and Meyer (1993) | BM93.e2.data |
| Example 3 data in Box and Meyer (1993) | BM93.e3.data |
| Posterior Probabilities from Bayesian Screening Experiments | BsProb |
| Normal Plot of Effects | DanielPlot |
| Lenth's Plot of Effects | LenthPlot |
| Best Model Discrimination (MD) Follow-Up Experiments | MD |
| 12-run Plackett-Burman Design Matrix | PB12Des |
| Plotting of Posterior Probabilities from Bayesian Screening | plot.BsProb |
| Printing Posterior Probabilities from Bayesian Screening | print.BsProb |
| Print Best MD Follow-Up Experiments | print.MD |
| Reactor Experiment Data | Reactor.data |
| Summary of Posterior Probabilities from Bayesian Screening | summary.BsProb |
| Summary of Best MD Follow-Up Experiments | summary.MD |