Tools to compute depth measures and implementations of related
tasks such as outlier detection, data exploration and
classification of multivariate, regression and functional data.
c(
person(given="Pieter",family="Segaert", role = c("aut")),
person(given="Mia",family="Hubert", role = c("aut")),
person(given="Peter",family="Rousseeuw", role = c("aut")),
person(given="Jakob",family="Raymaekers", role = c("aut", "cre"),
email = "jakob.raymaekers@kuleuven.be"),
person(given="Kaveh",family="Vakili", role = c("ctb"))
)
abind, geometry, grid, matrixStats, reshape2,
Pieter Segaert [aut],
Mia Hubert [aut],
Peter Rousseeuw [aut],
Jakob Raymaekers [aut, cre],
Kaveh Vakili [ctb]

c(
person(given="Pieter",family="Segaert", role = c("aut", "cre"),
email = "Pieter.Segaert@kuleuven.be"),
person(given="Mia",family="Hubert", role = c("aut")),
person(given="Peter",family="Rousseeuw", role = c("aut")),
person(given="Jakob",family="Raymaekers", role = c("ctb")),
person(given="Kaveh",family="Vakili", role = c("ctb"))
)
abind, geometry, grid, matrixStats, reshape2
Pieter Segaert [aut, cre],
Mia Hubert [aut],
Peter Rousseeuw [aut],
Jakob Raymaekers [ctb],
Kaveh Vakili [ctb]

c(
person(given="Pieter",family="Segaert", role = c("aut", "cre"),
email = "Pieter.Segaert@kuleuven.be"),
person(given="Mia",family="Hubert", role = c("aut")),
person(given="Peter",family="Rousseeuw", role = c("aut")),
person(given="Jakob",family="Raymaekers", role = c("aut")),
person(given="Kaveh",family="Vakili", role = c("ctb"))
)
Pieter Segaert [aut, cre],
Mia Hubert [aut],
Peter Rousseeuw [aut],
Jakob Raymaekers [aut],
Kaveh Vakili [ctb]

A Markov random field structure estimator that uses a penalized maximum conditional likelihood method similar to the Bayesian Information Criterion (Frondana, 2016) <doi:10.11606/T.45.2018.tde-02022018-151123>.
Rodrigo Carvalho [aut, cre], Florencia Leonardi [rev, ths]

Three algorithms for estimating a Markov random field structure.Two of them are an exact version and a simulated annealing version of a penalized maximum conditional likelihood method similar to the Bayesian Information Criterion. These algorithm are described in Frondana (2016) <doi:10.11606/T.45.2018.tde-02022018-151123>.The third one is a greedy algorithm, described in Bresler (2015) <doi:10.1145/2746539.2746631).
c(person("Rodrigo Carvalho", role = c("aut", "cre"), email = "rodrigorsdc@gmail.com"), person("Florencia Leonardi", role = c("rev", "ths")))
Rodrigo Carvalho [aut, cre],
Florencia Leonardi [rev, ths]