Package: KrigInv 1.4.2
KrigInv: Kriging-Based Inversion for Deterministic and Noisy Computer Experiments
Criteria and algorithms for sequentially estimating level sets of a multivariate numerical function, possibly observed with noise.
Authors:
KrigInv_1.4.2.tar.gz
KrigInv_1.4.2.zip(r-4.5)KrigInv_1.4.2.zip(r-4.4)KrigInv_1.4.2.zip(r-4.3)
KrigInv_1.4.2.tgz(r-4.4-any)KrigInv_1.4.2.tgz(r-4.3-any)
KrigInv_1.4.2.tar.gz(r-4.5-noble)KrigInv_1.4.2.tar.gz(r-4.4-noble)
KrigInv_1.4.2.tgz(r-4.4-emscripten)KrigInv_1.4.2.tgz(r-4.3-emscripten)
KrigInv.pdf |KrigInv.html✨
KrigInv/json (API)
# Install 'KrigInv' in R: |
install.packages('KrigInv', repos = c('https://dazzimonti.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 2 years agofrom:82245e992f. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | NOTE | Oct 31 2024 |
R-4.5-linux | NOTE | Oct 31 2024 |
R-4.4-win | NOTE | Oct 31 2024 |
R-4.4-mac | NOTE | Oct 31 2024 |
R-4.3-win | OK | Oct 31 2024 |
R-4.3-mac | OK | Oct 31 2024 |
Exports:bichon_optimcomputeQuickKrigcovcomputeRealVolumeConstantEGIEGIparallelexcursion_probabilityintegration_designjn_optim_paralleljn_optim_parallel2max_futureVol_parallelmax_infill_criterionmax_sur_parallelmax_timse_parallelmax_vorob_parallelprecomputeUpdateDatapredict_nobias_kmpredict_update_km_parallelprint_uncertaintyprint_uncertainty_1dprint_uncertainty_2dprint_uncertainty_ndranjan_optimsur_optim_parallelsur_optim_parallel2timse_optim_paralleltimse_optim_parallel2tmse_optimtsee_optimvorob_optim_parallelvorob_optim_parallel2vorob_thresholdvorobVol_optim_parallelvorobVol_optim_parallel2
Dependencies:anMCDiceKrigingmvtnormpbivnormrandtoolboxRcppRcppArmadillorgenoudrngWELL