dtree: 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.

Version:	0.4.2
Depends:	rpart, party, evtree, partykit, caret
Suggests:	randomForest, tree, MASS, ISLR, matrixStats, plyr, rpart.utils, stringr, pROC
Published:	2018-01-18
Author:	Ross Jacobucci
Maintainer:	Ross Jacobucci <rcjacobuc at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	dtree results

Documentation:

Reference manual:

dtree.pdf

Downloads:

Package source:	dtree_0.4.2.tar.gz
Windows binaries:	r-devel: dtree_0.4.2.zip, r-release: dtree_0.4.2.zip, r-oldrel: dtree_0.4.2.zip
macOS binaries:	r-release (arm64): dtree_0.4.2.tgz, r-oldrel (arm64): dtree_0.4.2.tgz, r-release (x86_64): dtree_0.4.2.tgz, r-oldrel (x86_64): dtree_0.4.2.tgz
Old sources:	dtree archive

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