Package: Boptbd 1.0.7
Dibaba Bayisa Gemechu
Boptbd: Bayesian Optimal Block Designs
Computes Bayesian A- and D-optimal block designs under the linear mixed effects model settings using block/array exchange algorithm of Debusho, Gemechu and Haines (2018) <doi:10.1080/03610918.2018.1429617> and Gemechu, Debusho and Haines (2025) <doi:10.5539/ijsp.v14n1p50> where the interest is in a comparison of all possible elementary treatment contrasts. The package also provides an optional method of using the graphical user interface (GUI) R package 'tcltk' to ensure that it is user friendly.
Authors:
Boptbd_1.0.7.tar.gz
Boptbd_1.0.7.tar.gz(r-4.7-any)Boptbd_1.0.7.tar.gz(r-4.6-any)
Boptbd_1.0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Boptbd/json (API)
| # Install 'Boptbd' in R: |
| install.packages('Boptbd', repos = c('https://cran.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:d9e8509701. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 131 | ||
| source / vignettes | OK | 175 | ||
| linux-release-x86_64 | OK | 126 | ||
| wasm-release | OK | 122 |
Exports:BaoptbdBdoptbdBoptbdBoptbd.defaultcmatbdfixparBbdgraphoptBbdintcbdmmenuBbdprint.Boptbdprint.summary.Boptbdsummary.Boptbd
Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMASSMatrixpkgconfigrlangvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesain optimal block designs | Boptbd Boptbd.default print.Boptbd print.summary.Boptbd summary.Boptbd |
| Internal function | Baoptbd Bdoptbd Boptbd-internal |
| Computes the treatment information matrix | cmatbd |
| Sets parametric values | fixparBbd |
| Creates the graphical layout of resultant optimal design | graphoptBbd |
| Generates initial connected block design | intcbd |
| Creates the main menu tcltk window | mmenuBbd |