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], Heidi Seibold [ctb], Achim Zeileis [aut]|
|Date of publication||2017-05-24 21:08:25|
|Maintainer||Torsten Hothorn <[email protected]>|
|License||GPL-2 | GPL-3|
|Package repository||View on R-Forge|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.