gam, splines, MASS, class, mclust, leaps, mda, lasso2, lars, boot

gam, splines, MASS, class, leaps, mda, lasso2, lars, boot,
prim, earth

Data Sets, Functions and Examples from the Book: "The Elements
of Statistical Learning, Data Mining, Inference, and
Prediction" by Trevor Hastie, Robert Tibshirani and Jerome
Friedman
Material from the book's webpage, R port and packaging by
Kjetil B Halvorsen

Material from the book's webpage
(https://web.stanford.edu/~hastie/ElemStatLearn/>),
R port and packaging by Kjetil B Halvorsen
Orphaned and corrected on 2019-03-02 as check issues
were not corrected despite reminder.

Inference of Elliptical Distributions and Copulas
Provides functions for the simulation and
the nonparametric estimation of elliptical distributions,
meta-elliptical copulas and trans-elliptical distributions,
following the article Derumigny and Fermanian (2021) <arXiv:2106.12367>.
c(
person("Alexis", "Derumigny",, email = "a.f.f.derumigny@tudelft.nl", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6163-8097")),
person("Jean-David", "Fermanian",, email = "Jean-David.Fermanian@ensae.fr", role = "aut", comment = c(ORCID = "0000-0001-5960-5555"))
)
Alexis Derumigny [aut, cre] (<https://orcid.org/0000-0002-6163-8097>),
Jean-David Fermanian [aut] (<https://orcid.org/0000-0001-5960-5555>)

Provides functions for the simulation and
the nonparametric estimation of elliptical distributions,
meta-elliptical copulas and trans-elliptical distributions,
following the article Derumigny and Fermanian (2022) <doi:10.1016/j.jmva.2022.104962>.
c(
person("Alexis", "Derumigny",, email = "a.f.f.derumigny@tudelft.nl", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6163-8097")),
person("Jean-David", "Fermanian",, email = "Jean-David.Fermanian@ensae.fr", role = "aut", comment = c(ORCID = "0000-0001-5960-5555")),
person("Rutger", "van der Spek",, role = "ctb")
)
Alexis Derumigny [aut, cre] (<https://orcid.org/0000-0002-6163-8097>),
Jean-David Fermanian [aut] (<https://orcid.org/0000-0001-5960-5555>),
Rutger van der Spek [ctb]