DiceKriging: Kriging Methods for Computer Experiments

Canonical link: https://rscholar.com/pkg/DiceKriging

Olivier Roustant • David Ginsbourger • Yves Deville. Contributors: Clement Chevalier • Yann Richet. • View description and downloads View dependencies GitHub project

2010 Published

0 Citations

4 Authors

16 Revisions

1.6.0 Version

GPL-2 License

Referenced by ⇅	Year
aRchi: Quantitative Structural Model ("QSM") Treatment for Tree Architecture (Version 2.1.3)	2021
mistat: Data Sets, Functions and Examples from the Book: "Modern Industrial Statistics" by Kenett, Zacks and Amberti (Version 2.0.4)	2013
moko: Multi-Objective Kriging Optimization (Version 1.0.3)	2016
mosmafs: Multi-Objective Simultaneous Model and Feature Selection (Version 0.1.2-1)	2020
IGP: Interchangeable Gaussian Process Models (Version 0.2.1)	2017
varycoef: Modeling Spatially Varying Coefficients (Version 0.3.5)	2019
DiceEval: Construction and Evaluation of Metamodels (Version 1.6.1)	2010
DiceOptim: Kriging-Based Optimization for Computer Experiments (Version 2.1.1)	2010
DiceView: Methods for Visualization of Computer Experiments Design and Surrogate (Version 3.1-0)	2010
GPCsign: Gaussian Process Classification as Described in Bachoc et al. (2020) (Version 0.1.1)	2024
GPGame: Solving Complex Game Problems using Gaussian Processes (Version 1.2.0)	2017
GPTreeO: Dividing Local Gaussian Processes for Online Learning Regression (Version 1.0.1)	2024
GPareto: Gaussian Processes for Pareto Front Estimation and Optimization (Version 1.1.8)	2014
GenericML: Generic Machine Learning Inference (Version 0.2.2)	2021
KrigInv: Kriging-Based Inversion for Deterministic and Noisy Computer Experiments (Version 1.4.2)	2011
LSDsensitivity: Sensitivity Analysis Tools for LSD Simulations (Version 1.3.0)	2017
ParBayesianOptimization: Parallel Bayesian Optimization of Hyperparameters (Version 1.2.6)	2018
TAG: Transformed Additive Gaussian Processes (Version 0.5.1)	2019
anMC: Compute High Dimensional Orthant Probabilities (Version 0.2.5)	2017
comparer: Compare Output and Run Time (Version 0.2.4)	2017
fanovaGraph: Building Kriging Models from FANOVA Graphs (Version 1.5)	2011
fsemipar: Estimation, Variable Selection and Prediction for Functional Semiparametric Models (Version 1.1.1)	2023
glmnetr: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models (Version 0.5-5)	2022
grf: Generalized Random Forests (Version 2.4.0)	2017
kergp: Gaussian Process Laboratory (Version 0.5.8)	2015
mistral: Methods in Structural Reliability (Version 2.2.2)	2013
mlpwr: A Power Analysis Toolbox to Find Cost-Efficient Study Designs (Version 1.1.1)	2022
mlr: Machine Learning in R (Version 2.19.2)	2013
mlr3learners: Recommended Learners for 'mlr3' (Version 0.10.0)	2019
mlr3mbo: Flexible Bayesian Optimization (Version 0.2.9)	2022
mlrMBO: Bayesian Optimization and Model-Based Optimization of Expensive Black-Box Functions (Version 1.1.5.1)	2017
mlrintermbo: Model-Based Optimization for 'mlr3' Through 'mlrMBO' (Version 0.5.1-1)	2021
pGPx: Pseudo-Realizations for Gaussian Process Excursions (Version 0.1.4)	2018
profExtrema: Compute and Visualize Profile Extrema Functions (Version 0.2.1)	2018
rlibkriging: Kriging Models using the 'libKriging' Library (Version 0.9-1)	2022
sensitivity: Global Sensitivity Analysis of Model Outputs and Importance Measures (Version 1.30.1)	2006
stops: Structure Optimized Proximity Scaling (Version 1.8-2)	2023
tramnet: Penalized Transformation Models (Version 0.0-8)	2020
tuneRanger: Tune Random Forest of the 'ranger' Package (Version 0.7)	2018

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.