Version 1.0-4 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. Depends R (> = 3.1.0), graphics, grid Imports stats, surviva
Tree-based methods are a nice add-on to traditional statistical methods when solving classification ...
This work introduces methods and associated software for enhancing the interpretability of fitted mo...
A recursive probability tree (RPT) is an incipient data structure for representing the distributions...
The partykit package provides a flexible toolkit with infrastructure for learning, rep-resenting, su...
Version 1.0-13 Description A computational toolbox for recursive partitioning. The core of the packa...
Version 1.0-17 Description A computational toolbox for recursive partitioning. The core of the packa...
Version 1.0-23 Description A computational toolbox for recursive partitioning. The core of the packa...
The party package (Hothorn, Hornik, and Zeileis 2006) aims at providing a recur-sive part(y)itioning...
MOB is a generic algorithm for model-based recursive partitioning (Zeileis, Hothorn, and Hornik 2008...
This vignette describes infrastructure for regression and classification trees with simple constant ...
The party package (Hothorn, Hornik, and Zeileis 2006) provides the function mob() im-plementing a re...
Description This package implements random forest method for model based recursive partitioning. The...
This work introduces methods and associated software for enhancing the interpretability of fitted mo...
Recursive partitioning based on psychometric models,employing the general MOB algo- rithm (from pack...
Stability aspects of recursive partitioning procedures are investigated. Using resampling techniques...
Tree-based methods are a nice add-on to traditional statistical methods when solving classification ...
This work introduces methods and associated software for enhancing the interpretability of fitted mo...
A recursive probability tree (RPT) is an incipient data structure for representing the distributions...
The partykit package provides a flexible toolkit with infrastructure for learning, rep-resenting, su...
Version 1.0-13 Description A computational toolbox for recursive partitioning. The core of the packa...
Version 1.0-17 Description A computational toolbox for recursive partitioning. The core of the packa...
Version 1.0-23 Description A computational toolbox for recursive partitioning. The core of the packa...
The party package (Hothorn, Hornik, and Zeileis 2006) aims at providing a recur-sive part(y)itioning...
MOB is a generic algorithm for model-based recursive partitioning (Zeileis, Hothorn, and Hornik 2008...
This vignette describes infrastructure for regression and classification trees with simple constant ...
The party package (Hothorn, Hornik, and Zeileis 2006) provides the function mob() im-plementing a re...
Description This package implements random forest method for model based recursive partitioning. The...
This work introduces methods and associated software for enhancing the interpretability of fitted mo...
Recursive partitioning based on psychometric models,employing the general MOB algo- rithm (from pack...
Stability aspects of recursive partitioning procedures are investigated. Using resampling techniques...
Tree-based methods are a nice add-on to traditional statistical methods when solving classification ...
This work introduces methods and associated software for enhancing the interpretability of fitted mo...
A recursive probability tree (RPT) is an incipient data structure for representing the distributions...