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.

Version:	1.0.5
Depends:	R (≥ 3.4.0), MASS, Matrix, igraph, tcltk
Published:	2020-01-13
Author:	Dibaba Bayisa Gemechu [aut, cre], Legesse Kassa Debusho [aut], Linda Haines [aut]
Maintainer:	Dibaba Bayisa Gemechu <dgemechu at nust.na>
License:	GPL-2
NeedsCompilation:	no
In views:	CausalInference
CRAN checks:	Boptbd results

Documentation:

Reference manual:

Boptbd.pdf

Downloads:

Package source:	Boptbd_1.0.5.tar.gz
Windows binaries:	r-devel: Boptbd_1.0.5.zip, r-release: Boptbd_1.0.5.zip, r-oldrel: Boptbd_1.0.5.zip
macOS binaries:	r-release (arm64): Boptbd_1.0.5.tgz, r-oldrel (arm64): Boptbd_1.0.5.tgz, r-release (x86_64): Boptbd_1.0.5.tgz, r-oldrel (x86_64): Boptbd_1.0.5.tgz

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