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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.

Version:1.0.7
Depends:R (≥ 3.4.0),MASS,Matrix,igraph, tcltk
Published:2025-05-24
DOI:10.32614/CRAN.package.Boptbd
Author:Dibaba Bayisa Gemechu [aut, cre], Legesse Kassa Debusho [aut], Linda Haines [aut]
Maintainer:Dibaba Bayisa Gemechu <diboobayu at gmail.com>
License:GPL-2
NeedsCompilation:no
In views:CausalInference
CRAN checks:Boptbd results

Documentation:

Reference manual:Boptbd.html ,Boptbd.pdf

Downloads:

Package source: Boptbd_1.0.7.tar.gz
Windows binaries: r-devel:Boptbd_1.0.7.zip, r-release:Boptbd_1.0.7.zip, r-oldrel:Boptbd_1.0.7.zip
macOS binaries: r-release (arm64):Boptbd_1.0.7.tgz, r-oldrel (arm64):Boptbd_1.0.7.tgz, r-release (x86_64):Boptbd_1.0.7.tgz, r-oldrel (x86_64):Boptbd_1.0.7.tgz
Old sources: Boptbd archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=Boptbdto link to this page.


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