Package: Boptbd 1.0.5

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> 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:Dibaba Bayisa Gemechu [aut, cre], Legesse Kassa Debusho [aut], Linda Haines [aut]

Boptbd_1.0.5.tar.gz
Boptbd_1.0.5.tar.gz(r-4.5-noble)Boptbd_1.0.5.tar.gz(r-4.4-noble)
Boptbd_1.0.5.tgz(r-4.4-emscripten)Boptbd_1.0.5.tgz(r-4.3-emscripten)
Boptbd.pdf |Boptbd.html
Boptbd/json (API)

# Install 'Boptbd' in R:
install.packages('Boptbd', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 178 downloads 12 exports 12 dependencies

Last updated 5 years agofrom:51cdaaed2d. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 27 2024
R-4.5-linuxNOTENov 27 2024

Exports:BaoptbdBdoptbdBoptbdBoptbd.defaultcmatbdfixparBbdgraphoptBbdintcbdmmenuBbdprint.Boptbdprint.summary.Boptbdsummary.Boptbd

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMASSMatrixpkgconfigrlangvctrs