View 2D/3D sections or contours of computer experiments
designs, surrogates or test functions.

View 2D/3D sections or contours of computer experiments designs, surrogates or test functions.

Plot Methods for Computer Experiments Design and Surrogate
methods, utils, stats, grDevices, DiceKriging, DiceEval, rgl

Methods for Visualization of Computer Experiments Design and
Surrogate
View 2D/3D sections, contour plots, mesh of excursion sets for computer experiments designs, surrogates or test functions.
methods, utils, stats, grDevices, graphics, rgl,
scatterplot3d, DiceKriging, DiceEval

methods, utils, stats, grDevices, graphics, DiceKriging,
DiceEval

c(person(given = "Yann",
family = "Richet",
role = c("aut","cre"),
email = "yann.richet@irsn.fr",
comment = c(ORCID = "0000-0002-5677-8458")),
person(given = "Yves",
family = "Deville",
role = c("aut"),
email = "deville.yves@alpestat.com"),
person(given = "Clement",
family = "Chevalier",
role = c("ctb"),
email = "clement.chevalier1@gmail.com"))
Yann Richet [aut, cre] (<https://orcid.org/0000-0002-5677-8458>),
Yves Deville [aut],
Clement Chevalier [ctb]

R6 Based Key-Value Dictionary Implementation
person(given = "Shun",
family = "Asai",
role = c("aut", "cre", "cph"),
email = "syun.asai@gmail.com")
A key-value dictionary data structure based on R6 class which is designed to be similar usages with other languages dictionary (e.g. 'Python') with reference semantics and extendabilities by R6.

A Simple Implementation and Demonstration of Gradient Boosting
person("David", "Shaub", email = "davidshaub@gmx.com", role = c("aut", "cre"))
A basic, clear implementation of tree-based gradient boosting
designed to illustrate the core operation of boosting models. Tuning
parameters (such as stochastic subsampling, modified learning rate, or
regularization) are not implemented. The only adjustable parameter is the
number of training rounds. If you are looking for a high performance boosting
implementation with tuning parameters, consider the 'xgboost' package.