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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).

copied from cf-staging / r-partykit
Type Size Name Uploaded Downloads Labels
conda 2.2 MB | win-64/r-partykit-1.2_22-r43h11b023d_0.conda  3 months and 25 days ago 201 main
conda 2.2 MB | win-64/r-partykit-1.2_22-r44h11b023d_0.conda  3 months and 25 days ago 209 main
conda 2.2 MB | osx-64/r-partykit-1.2_22-r44h6b9d099_0.conda  3 months and 25 days ago 208 main
conda 2.2 MB | osx-64/r-partykit-1.2_22-r43h6b9d099_0.conda  3 months and 25 days ago 188 main
conda 2.2 MB | linux-64/r-partykit-1.2_22-r43hdb488b9_0.conda  3 months and 25 days ago 743 main
conda 2.2 MB | linux-64/r-partykit-1.2_22-r44hdb488b9_0.conda  3 months and 25 days ago 578 main

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