DiceKriging: Kriging Methods for Computer Experiments

Canonical link: https://scholar.rpkg.net/pkg/DiceKriging

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

2010 Published

1.6.0 Version

0 Citations

1 Authors

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
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 2.2-0)	2010
GPGame: Solving Complex Game Problems using Gaussian Processes (Version 1.2.0)	2017
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 1.2.3)	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 0.2.3)	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 0.5-1)	2022
grf: Generalized Random Forests (Version 2.3.2)	2017
kergp: Gaussian Process Laboratory (Version 0.5.7)	2015
mistral: Methods in Structural Reliability (Version 2.2.2)	2013
mlpwr: A Power Analysis Toolbox to Find Cost-Efficient Study Designs (Version 1.1.0)	2022
mlr: Machine Learning in R (Version 2.19.2)	2013
mlr3learners: Recommended Learners for 'mlr3' (Version 0.7.0)	2019
mlr3mbo: Flexible Bayesian Optimization (Version 0.2.2)	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 0.8-0.1)	2022
sensitivity: Global Sensitivity Analysis of Model Outputs and Importance Measures (Version 1.30.0)	2006
stops: Structure Optimized Proximity Scaling (Version 1.6-2)	2023
tramnet: Penalized Transformation Models (Version 0.0-8)	2020
tuneRanger: Tune Random Forest of the 'ranger' Package (Version 0.7)	2018
varycoef: Modeling Spatially Varying Coefficients (Version 0.3.4)	2019

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