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KrigInv  

Kriging-Based Inversion for Deterministic and Noisy Computer Experiments
View on CRAN: Click here


Download and install KrigInv package within the R console
Install from CRAN:
install.packages("KrigInv")

Install from Github:
library("remotes")
install_github("cran/KrigInv")

Install by package version:
library("remotes")
install_version("KrigInv", "1.4.2")



Attach the package and use:
library("KrigInv")
Maintained by
Dario Azzimonti
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-01-03
Latest Update: 2022-09-09
Description:
Criteria and algorithms for sequentially estimating level sets of a multivariate numerical function, possibly observed with noise.
How to cite:
Dario Azzimonti (2011). KrigInv: Kriging-Based Inversion for Deterministic and Noisy Computer Experiments. R package version 1.4.2, https://cran.r-project.org/web/packages/KrigInv. Accessed 05 Aug. 2026.
Previous versions and publish date:
1.1 (2011-01-03 18:55), 1.2 (2012-03-26 14:45), 1.3.1 (2014-12-23 00:30), 1.3 (2012-08-10 14:28), 1.4.1 (2018-09-11 17:10), (2026-07-09 08:07)
Other packages that cited KrigInv R package
View KrigInv citation profile
Other R packages that KrigInv depends, imports, suggests or enhances
Complete documentation for KrigInv
Functions, R codes and Examples using the KrigInv R package
Some associated functions: EGI . EGIparallel . KrigInv-package . bichon_optim . computeQuickKrigcov . computeRealVolumeConstant . excursion_probability . integration_design . jn_optim_parallel . jn_optim_parallel2 . max_futureVol_parallel . max_infill_criterion . max_sur_parallel . max_timse_parallel . max_vorob_parallel . precomputeUpdateData . predict_nobias_km . predict_update_km_parallel . print_uncertainty . print_uncertainty_1d . print_uncertainty_2d . print_uncertainty_nd . ranjan_optim . sur_optim_parallel . sur_optim_parallel2 . timse_optim_parallel . timse_optim_parallel2 . tmse_optim . tsee_optim . vorobVol_optim_parallel . vorobVol_optim_parallel2 . vorob_optim_parallel . vorob_optim_parallel2 . vorob_threshold . 
Some associated R codes: EGI.R . EGIparallel.R . bichon_optim.R . computeQuickKrigcov.R . computeRealVolumeConstant.R . excursion_probability.R . integration_design.R . jn_optim_parallel.R . jn_optim_parallel2.R . max_futureVol_parallel.R . max_infill_criterion.R . max_sur_parallel.R . max_timse_parallel.R . max_vorob_parallel.R . precomputeUpdateData.R . predict_nobias_km.R . predict_update_km_parallel.R . print_uncertainty.R . print_uncertainty_1d.R . print_uncertainty_2d.R . print_uncertainty_nd.R . ranjan_optim.R . sur_optim_parallel.R . sur_optim_parallel2.R . timse_optim_parallel.R . timse_optim_parallel2.R . tmse_optim.R . tsee_optim.R . vorobVol_optim_parallel.R . vorobVol_optim_parallel2.R . vorob_optim_parallel.R . vorob_optim_parallel2.R . vorob_threshold.R .  Full KrigInv package functions and examples
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