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:
Downloads:
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