XML, pmml, rJava, rpart, mvtnorm, Formula, sandwich,
strucchange, vcd, AER, mlbench, TH.data (>= 1.0-3), coin, RWeka
(>= 0.4-19), datasets, psychotools, psychotree

XML, pmml, rJava, rpart, mvtnorm, Formula, sandwich,
strucchange, vcd, AER, mlbench, TH.data (>= 1.0-3), coin, RWeka
(>= 0.4-19), datasets, parallel, psychotools, psychotree

XML, pmml, rJava, rpart, mvtnorm, Formula (>= 1.2-1),
sandwich, strucchange, vcd, AER, mlbench, TH.data (>= 1.0-3),
coin, RWeka (>= 0.4-19), datasets, parallel, psychotools,
psychotree

XML, pmml, rJava, rpart, mvtnorm, Formula (>= 1.2-1),
sandwich, strucchange, vcd, AER, mlbench, TH.data (>= 1.0-3),
coin (>= 1.1-0), RWeka (>= 0.4-19), datasets, parallel,
psychotools, psychotree

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.
grDevices, stats, utils, survival, Formula (>= 1.2-1)
XML, pmml, rJava, rpart, mvtnorm, sandwich, strucchange, vcd,
AER, mlbench, TH.data (>= 1.0-3), coin (>= 1.1-0), RWeka (>=
0.4-19), datasets, parallel, psychotools, psychotree

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.