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.
- Version2.1.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release02/02/2021
Team
Victor Picheny
Olivier Roustant
Show author detailsRolesAuthorMickael Binois
Show author detailsRolesContributorDavid Ginsbourger Green
Show author detailsRolesAuthorSebastien Marmin
Show author detailsRolesContributorTobias Wagner
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 1,031 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 22 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 11,078 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Apr 10, 2024 with 111 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports5 packages
- Suggests2 packages
- Reverse Imports1 package
- Reverse Suggests4 packages