Imports: stats, boot, jmuOutlier, ellipse, hypergeo, gsl

Title: Tools for Building Regression and Classification Models
person("Bernhard" , "Compton",   role = c("ctb")),
person("Marcel"   , "Dettling",  role = c("ctb")),
person("Alexandre", "Hainard", role = "ctb"),
person("Max"      , "Kuhn",      role = c("ctb")),
person("Frédérique", "Lisacek", role = "ctb"),
person("Michal"   , "Majka",     role = c("ctb")),
person("Markus"   , "Müller", role = "ctb"),
person("Dan"      , "Putler",    role = c("ctb")),
person("Jean-Charles", "Sanchez", role = "ctb"),
person("Natalia"  , "Tiberti", role = "ctb"),
person("Natacha"  , "Turck", role = "ctb"),
person("Jarek"    , "Tuszynski", role = c("ctb")),
person("Robin"    , "Xavier",    role = c("ctb")),
person("Achim"    , "Zeileis",   role = c("ctb")))
Description: Collection of tools for regression and classification tasks. The package implements a consistent user interface to the most popular regression and classification algorithms, such as random forest, neural networks, C5 trees and support vector machines, and complements it with a handful of auxiliary functions, such as variable importance and a tuning function for the parameters.
Depends: DescTools, MASS, nnet, survival, R (>= 3.5.0)
Imports: e1071, C50, rpart, randomForest, pROC, pscl, methods,
relaimpo, rpart.plot, lattice, lmtest, car, robustbase, class,

Description: Finding Modal Clusters in a Hierarchical fashion. This
clusters are extremely flexible in shape and are
computationally fast even in highe dimensions.
Depends: R (>= 1.8.0), mvtnorm, zoo, class

Description: Perfroms Modal Clustering (MAC) including Hierarchical
Modal Clustering (HMAC) along with their parallel
implementation (PHMAC) over several processors.  These
model-based non-parametric clustering techniques can extract
clusters in very high dimensions with arbitrary density shapes.
By default clustering is performed over several resolutions and
the results are summarized as a hierarchical tree. Associated
plot functions are also provided. There is a package vignette