Decision Trees

Combines various decision tree algorithms, plus both linear regression and ensemble methods into one package. Allows for the use of both continuous and categorical outcomes. An optional feature is to quantify the (in)stability to the decision tree methods, indicating when results can be trusted and when ensemble methods may be preferential.


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("dtree")

0.4.2 by Ross Jacobucci, a year ago


Browse source code at https://github.com/cran/dtree


Authors: Ross Jacobucci


Documentation:   PDF Manual  


GPL (>= 2) license


Depends on rpart, party, evtree, partykit, caret

Suggests randomForest, tree, MASS, ISLR, matrixStats, plyr, rpart.utils, stringr, pROC


See at CRAN