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Boptbd  

Bayesian Optimal Block Designs
View on CRAN: Click here


Download and install Boptbd package within the R console
Install from CRAN:
install.packages("Boptbd")

Install from Github:
library("remotes")
install_github("cran/Boptbd")

Install by package version:
library("remotes")
install_version("Boptbd", "1.0.7")



Attach the package and use:
library("Boptbd")
Maintained by
Dibaba Bayisa Gemechu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-13
Latest Update: 2025-05-24
Description:
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) 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.
How to cite:
Dibaba Bayisa Gemechu (2020). Boptbd: Bayesian Optimal Block Designs. R package version 1.0.7, https://cran.r-project.org/web/packages/Boptbd. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0.5 (2020-01-13 18:20)
Other packages that cited Boptbd R package
View Boptbd citation profile
Other R packages that Boptbd depends, imports, suggests or enhances
Complete documentation for Boptbd
Functions, R codes and Examples using the Boptbd R package
Some associated functions: Boptbd-internal . Boptbd . cmatbd . fixparBbd . graphoptBbd . intcbd . mmenuBbd . 
Some associated R codes: Baoptbd.R . Bdoptbd.R . Boptbd.R . Boptbd.default.R . cmatbd.R . fixparBbd.R . graphoptBbd.R . intcbd.R . mmenuBbd.R . print.Boptbd.R . print.summary.Boptbd.R . summary.Boptbd.R .  Full Boptbd package functions and examples
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