Package: DiceOptim 2.1.1
Victor Picheny
DiceOptim: Kriging-Based Optimization for Computer Experiments
Efficient Global Optimization (EGO) algorithm as described in "Roustant et al. (2012)" <doi:10.18637/jss.v051.i01> and adaptations for problems with noise ("Picheny and Ginsbourger, 2012") <doi:10.1016/j.csda.2013.03.018>, parallel infill, and problems with constraints.
Authors:
DiceOptim_2.1.1.tar.gz
DiceOptim_2.1.1.tar.gz(r-4.5-noble)DiceOptim_2.1.1.tar.gz(r-4.4-noble)
DiceOptim_2.1.1.tgz(r-4.4-emscripten)DiceOptim_2.1.1.tgz(r-4.3-emscripten)
DiceOptim.pdf |DiceOptim.html✨
DiceOptim/json (API)
# Install 'DiceOptim' in R: |
install.packages('DiceOptim', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:3620f79edb. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 26 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 26 2024 |
Exports:AEIAEI.gradAKGAKG.gradbranin2checkPredictcrit_ALcrit_EFIcrit_SUR_cstcritcst_optimizereasyEGOeasyEGO.cstEGO.cstEGO.nstepsEIEI.gradEQIEQI.gradfastEGO.nstepsfastfungoldsteinpricehartman4integration_design_cstkriging.quantilekriging.quantile.gradmax_AEImax_AKGmax_critmax_EImax_EQImax_qEImin_quantilenoisy.optimizerParrConstraintqEGO.nstepsqEIqEI.gradrosenbrock4sampleFromEIsphere6TREGO.nstepsupdate_km_noisyEGO
Dependencies:DiceDesignDiceKrigingmnormtpbivnormrandtoolboxrgenoudrngWELL