Bayesian Optimal Block Designs
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 7
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 57%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 100%
Downloads
Dependencies
Installing Boptbd adds 9 packages (6 with compiled code, 8.0 MB of source tarballs). Heaviest: igraph 4.8 MB, vctrs 1.0 MB, rlang 766 KB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.0.7Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.0.52020-01-13
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-01-13
- Total releases
- 2 / 6 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.4.0
- Download size
- 13 KB
Cite
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