Crandore Hub

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.

Versions across snapshots

VersionRepositoryFileSize
2.1.2 rolling linux/jammy R-4.5 DiceOptim_2.1.2.tar.gz 490.3 KiB
2.1.2 rolling linux/noble R-4.5 DiceOptim_2.1.2.tar.gz 490.5 KiB
2.1.2 rolling source/ R- DiceOptim_2.1.2.tar.gz 143.6 KiB
2.1.2 latest linux/jammy R-4.5 DiceOptim_2.1.2.tar.gz 490.3 KiB
2.1.2 latest linux/noble R-4.5 DiceOptim_2.1.2.tar.gz 490.5 KiB
2.1.2 latest source/ R- DiceOptim_2.1.2.tar.gz 143.6 KiB
2.1.2 2026-04-26 source/ R- DiceOptim_2.1.2.tar.gz 143.6 KiB
2.1.2 2026-04-23 source/ R- DiceOptim_2.1.2.tar.gz 143.6 KiB
2.1.2 2026-04-09 windows/windows R-4.5 DiceOptim_2.1.2.zip 499.5 KiB
2.1.1 2025-04-20 source/ R- DiceOptim_2.1.1.tar.gz 143.4 KiB

Dependencies (latest)

Depends

Imports

Suggests