partykit: A modular toolkit for recursive partytioning in R
Year of publication: |
2014
|
---|---|
Authors: | Hothorn, Torsten ; Zeileis, Achim |
Publisher: |
Innsbruck : University of Innsbruck, Research Platform Empirical and Experimental Economics (eeecon) |
Subject: | recursive partitioning | regression trees | classification trees | statistical learning | R | (d) are available in vignettes accompanying the package. |
Series: | |
---|---|
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Working Paper |
Language: | English |
Other identifiers: | 782357636 [GVK] hdl:10419/101073 [Handle] RePEc:inn:wpaper:2014-10 [RePEc] |
Classification: | C14 - Semiparametric and Nonparametric Methods ; C45 - Neural Networks and Related Topics ; C87 - Econometric Software |
Source: |
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partykit : a modular toolkit for recursive partytioning in R
Hothorn, Torsten, (2014)
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partykit: A Modular Toolkit for Recursive Partytioning in R
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