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.
|Author||Torsten Hothorn [aut, cre], Achim Zeileis [aut]|
|Date of publication||2016-09-20 15:39:04|
|Maintainer||Torsten Hothorn <[email protected]>|
|License||GPL-2 | GPL-3|
|Package repository||View on CRAN|
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