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partykit  

A Toolkit for Recursive Partytioning
View on CRAN: Click here


Download and install partykit package within the R console
Install from CRAN:
install.packages("partykit")

Install from Github:
library("remotes")
install_github("cran/partykit")

Install by package version:
library("remotes")
install_version("partykit", "1.2-23")



Attach the package and use:
library("partykit")
Maintained by
Torsten Hothorn
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-09-29
Latest Update: 2023-04-14
Description:
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) .
How to cite:
Torsten Hothorn (2011). partykit: A Toolkit for Recursive Partytioning. R package version 1.2-23, https://cran.r-project.org/web/packages/partykit. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1-1 (2011-09-29 11:27), 0.1-2 (2011-12-18 11:09), 0.1-3 (2012-01-11 12:52), 0.1-4 (2012-06-05 11:12), 0.1-5 (2013-03-22 10:44), 0.1-6 (2013-09-03 20:37), 0.8-0 (2014-03-27 14:14), 0.8-1 (2014-09-08 13:21), 0.8-2 (2014-09-12 17:36), 0.8-3 (2014-12-15 13:08), 0.8-4 (2015-01-07 14:22), 1.0-0 (2015-02-21 18:20), 1.0-1 (2015-04-08 11:12), 1.0-2 (2015-07-28 22:46), 1.0-3 (2015-08-14 20:13), 1.0-4 (2015-09-29 14:17), 1.0-5 (2016-02-05 19:28), 1.1-0 (2016-07-14 15:30), 1.1-1 (2016-09-20 15:39), 1.2-0 (2017-12-18 20:54), 1.2-1 (2018-04-20 20:45), 1.2-2 (2018-06-05 09:19), 1.2-3 (2019-01-31 14:30), 1.2-4 (2019-05-17 16:30), 1.2-5 (2019-07-18 13:20), 1.2-6 (2020-01-30 17:50), 1.2-7 (2020-03-06 12:00), 1.2-8 (2020-06-10 10:00), 1.2-9 (2020-07-10 17:20), 1.2-10 (2020-10-12 20:10), 1.2-11 (2020-12-09 17:30), 1.2-12 (2021-02-08 16:10), 1.2-13 (2021-03-03 18:10), 1.2-15 (2021-08-23 16:30), 1.2-16 (2022-06-20 15:30), 1.2-17 (2023-02-28 16:42), 1.2-18 (2023-03-09 14:20), 1.2-19 (2023-03-19 22:40), 1.2-20 (2023-04-14 11:20), 1.2-21 (2024-07-18 15:40), 1.2-22 (2024-08-17 15:40)
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