Boptbd v1.0.5
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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.
Functions in Boptbd
| Name | Description | |
| intcbd | Generates initial connected block design | |
| cmatbd | Computes the treatment information matrix | |
| fixparBbd | Sets parametric values | |
| Boptbd | Bayesain optimal block designs | |
| mmenuBbd | Creates the main menu tcltk window | |
| graphoptBbd | Creates the graphical layout of resultant optimal design | |
| Boptbd-internal | Internal function | |
| No Results! | ||
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Details
| Date | 2020-01-11 |
| License | GPL-2 |
| NeedsCompilation | no |
| Packaged | 2020-01-11 15:27:36 UTC; Dibaba B Gemechu |
| Repository | CRAN |
| Date/Publication | 2020-01-13 17:20:07 UTC |
| depends | igraph , MASS , Matrix , R (>= 3.4.0) , tcltk |
| Contributors | Legesse Kassa Debusho, Linda Haines |
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