ExactTree
0.1.1Exact Tree
Overview
Grows optimally global trees based on the algorithm defined in "An exact dynamic programming algorithm for regression and classification trees" (2011). It is possible to obtain both classification and regression trees depending on the measurement level of the outcome variable. The algorithm is based on the dynamic programming principle and guarantees that the resulting tree is optimal with respect to the chosen impurity measure. The package also includes a function to visualize the resulting trees, a function that summarizes the tree with its splitting information and leaf information, and a predict function that provides estimates for a new dataset given a model fit.
Install
Health
- ERROR r-devel-linux-x86_64-fedora-clang
- ERROR r-devel-linux-x86_64-fedora-gcc
- ERROR r-oldrel-macos-arm64
- ERROR r-oldrel-macos-x86_64
- ERROR r-release-macos-arm64
- ERROR r-release-macos-x86_64
- ERROR2026-08-080 OK · 0 NOTE · 0 WARNING · 6 ERROR · 0 FAILURE
Documentation
- Examples that run
- 33%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 13%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- 0.1.1Latest2026-08-07 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-08-07
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.0.2
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("ExactTree")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.