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acebayes  

Optimal Bayesian Experimental Design using the ACE Algorithm
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("acebayes", "1.10")



Attach the package and use:
library("acebayes")
Maintained by
Antony M. Overstall
[Scholar Profile | Author Map]
First Published: 2016-08-04
Latest Update: 2020-10-05
Description:
Optimal Bayesian experimental design using the approximate coordinate exchange (ACE) algorithm. See .
How to cite:
Antony M. Overstall (2016). acebayes: Optimal Bayesian Experimental Design using the ACE Algorithm. R package version 1.10, https://cran.r-project.org/web/packages/acebayes. Accessed 23 Feb. 2025.
Previous versions and publish date:
1.2 (2016-08-04 21:51), 1.3.4 (2017-02-11 04:33), 1.4.1 (2017-07-13 12:12), 1.4 (2017-05-22 13:53), 1.5.1 (2018-09-13 12:50), 1.5.2 (2018-11-21 13:30), 1.5 (2018-06-22 14:11), 1.6.0 (2018-12-19 17:20), 1.7 (2019-07-18 13:18), 1.8 (2019-09-30 12:10), 1.9 (2020-02-21 09:20)
Other packages that cited acebayes R package
View acebayes citation profile
Other R packages that acebayes depends, imports, suggests or enhances
Complete documentation for acebayes
Functions, R codes and Examples using the acebayes R package
Some associated functions: ace . acebayes-package . aceglm . acenlm . aceobjects . assess . assessobjects . overstallwoods . plot.ace . plot.assess . utilities . 
Some associated R codes: acebayes.R .  Full acebayes package functions and examples
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