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acebayes: Optimal Bayesian Experimental Design using the ACE Algorithm

Optimal Bayesian experimental design using the approximate coordinate exchange (ACE) algorithm. See <doi:10.18637/jss.v095.i13>.

Version: 1.10
Depends: R (≥ 3.5.0), lhs
Imports: Rcpp (≥ 0.12.9), compare, randtoolbox, parallel
LinkingTo: Rcpp, RcppArmadillo (≥ 0.9.100.5.0)
Published: 2020-10-05
DOI: 10.32614/CRAN.package.acebayes
Author: Antony M. Overstall, David C. Woods, Maria Adamou & Damianos Michaelides
Maintainer: Antony M. Overstall <A.M.Overstall at soton.ac.uk>
License: GPL-2
NeedsCompilation: yes
Citation: acebayes citation info
In views: Bayesian, ExperimentalDesign
CRAN checks: acebayes results

Documentation:

Reference manual: acebayes.pdf

Downloads:

Package source: acebayes_1.10.tar.gz
Windows binaries: r-devel: acebayes_1.10.zip, r-release: acebayes_1.10.zip, r-oldrel: acebayes_1.10.zip
macOS binaries: r-release (arm64): acebayes_1.10.tgz, r-oldrel (arm64): acebayes_1.10.tgz, r-release (x86_64): acebayes_1.10.tgz, r-oldrel (x86_64): acebayes_1.10.tgz
Old sources: acebayes archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=acebayes to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.