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
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

Downloads:

Reference manual: acebayes.pdf
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: acebayes_1.10.tgz, r-oldrel: acebayes_1.10.tgz
Old sources: acebayes archive

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