Implementation of random variables by means of S4 classes
and methods

R (>= 2.7.0), methods, startupmsg, distr(>= 2.0), distrEx(>=
2.0)

Implementation of random variables by means of S4 classes and methods

R (>= 2.12.0), methods, startupmsg, distr(>= 2.0), distrEx(>=
2.0)

Implements random variables by means of S4 classes and methods.
c(person("Matthias", "Kohl", role=c("cre", "cph", "aut"), email="Matthias.Kohl@stamats.de"), person("Peter", "Ruckdeschel",
role=c("aut", "cph")))
Matthias Kohl [cre, cph, aut],
Peter Ruckdeschel [aut, cph]

c(person("Matthias", "Kohl", role=c("cre", "cph", "aut"),
email="Matthias.Kohl@stamats.de"), person("Peter", "Ruckdeschel", role=c("aut",
"cph")))

c(person("Matthias", "Kohl", role=c("cre", "cph", "aut"),
email="Matthias.Kohl@stamats.de"), person("Peter", "Ruckdeschel",
role=c("aut","cph")))

Adaptive Estimation in the Linear Random Coefficients Models
c(person("Christophe", "Gaillac", email = "christophe.gaillac@ensae.fr", role = c("aut", "cre")),person("Eric", "Gautier", email = "eric.gautier@tse-fr.eu", role = c("aut")))
We implement adaptive estimation of the joint density linear model where the coefficients - intercept and slopes - are random and independent from regressors which support is a proper subset. The estimator proposed in Gaillac and Gautier (2019) <arXiv:1905.06584> is based on Prolate Spheroidal Wave Functions which are computed  efficiently in 'RandomCoefficients'. This package also provides a parallel implementation of the estimator.
snowfall, stats, orthopolynom, polynom, fourierin, sfsmisc,
tmvtnorm, rdetools, ks, statmod, RCEIM, robustbase, VGAM
Christophe Gaillac [aut, cre],
Eric Gautier [aut]

Simulation and Analysis of Random Fields
Simulating and analysing random fields using various methods

Simulation of Gaussian and extreme value random fields;
conditional simulation; kriging

Simulation of6 Gaussian and extreme value random fields;
conditional simulation; kriging

Martin Schlather [aut, cre], Peter Menck [aut], Richard
Singleton [ctb], Ben Pfaff [ctb], R Core team [ctb]