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. A description of this package was published
by Hothorn and Zeileis (2015)
|Author||Torsten Hothorn [aut, cre] (0000-0001-8301-0471), Heidi Seibold [ctb] (0000-0002-8960-9642), Achim Zeileis [aut] (0000-0003-0918-3766)|
|Date of publication||2017-12-18 19:54:15 UTC|
|Maintainer||Torsten Hothorn <[email protected]>|
|License||GPL-2 | GPL-3|
|Package repository||View on CRAN|
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