TH.data (>= 1.0-3), mlbench, colorspace, MASS, vcd, ipred,
varImp

TH.data (>= 1.0-3), mlbench, colorspace, MASS, vcd, ipred,
varImp, randomForest

c(person(given = "Torsten", family = "Hothorn", role =
c("aut", "cre"), email = "Torsten.Hothorn@R-project.org"),
person(given = "Achim", family = "Zeileis", role = "aut", email
= "Achim.Zeileis@R-project.org"))
Torsten Hothorn [aut, cre], Achim Zeileis [aut]
A toolkit with infrastructure for representing,
summarizing, and visualizing tree-structured regression and
classification models. This unified infrastructure can be used
for reading/coercing tree models from different sources (rpart,
RWeka, PMML) yielding objects that share functionality for
print/plot/predict methods. (It will also be the basis for a
re-implementation of the party package. Currently, only a
re-implementation of ctree() is contained in the package.)
XML, pmml, mlbench, RWeka, rJava, rpart, mvtnorm, Formula

A toolkit with infrastructure for representing,
summarizing, and visualizing tree-structured regression and
classification models. This unified infrastructure can be
used for reading/coercing tree models from different sources
(rpart, RWeka, PMML) yielding objects that share functionality for
print/plot/predict methods. (It will also be the basis for
a re-implementation of the party package. Currently, only
a re-implementation of ctree() is contained in the package.)

XML, pmml, mlbench, RWeka, rJava, rpart, mvtnorm, Formula,
ipred

c(person(given = "Torsten", family = "Hothorn", role = c("aut", "cre"), email = "Torsten.Hothorn@R-project.org"),
person(given = "Achim", family = "Zeileis", role = "aut", email = "Achim.Zeileis@R-project.org"))
XML, pmml, mlbench, rJava, rpart, mvtnorm, Formula, TH.data

A toolkit with infrastructure for representing, summarizing, and
visualizing tree-structured regression and classification models. This
unified infrastructure can be used for reading/coercing tree models from
different sources (rpart, RWeka, PMML) yielding objects that share
functionality for print/plot/predict methods. Furthermore, new and improved
reimplementations of conditional inference trees (ctree) and model-based
recursive partitioning (mob) from the party package are provided based
on the new infrastructure.
XML, pmml, rJava, rpart, mvtnorm, Formula, sandwich,
strucchange, vcd, AER, mlbench, TH.data (>= 1.0-3), coin, RWeka
(>= 0.4-19), mvpart, datasets, psychotools, psychotree
Torsten Hothorn [aut, cre],
Achim Zeileis [aut]