R Observatory: Metrics for evtree version 1.0-8

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

evtree

1.0-8

Evolutionary Learning of Globally Optimal Trees

4packages depend

54.9Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Thomas GrubingerFirst published 2011-09-3015 releasesCRAN page ↗

Commonly used classification and regression tree methods like the CART algorithm are recursive partitioning methods that build the model in a forward stepwise search. Although this approach is known to be an efficient heuristic, the results of recursive tree methods are only locally optimal, as splits are chosen to maximize homogeneity at the next step only. An alternative way to search over the parameter space of trees is to use global optimization methods like evolutionary algorithms. The 'evtree' package implements an evolutionary algorithm for learning globally optimal classification and regression trees in R. CPU and memory-intensive tasks are fully computed in C++ while the 'partykit' package is leveraged to represent the resulting trees in R, providing unified infrastructure for summaries, visualizations, and predictions.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("evtree", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-evtree

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-evtree

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-evtree

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 4.5 min · r-oldrel-macos-x86_64

Code health

Yes

Tests · ratio 1.44

not tracked

Coverage

100%

Documentation · exports

1

Dependencies · direct

Check history

NOTE2026-06-27
11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
WARNING2026-06-14
10 OK · 2 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 0% structuredCode of conductNoContributing guideNo

Examples that run: 83%
Documented parameters: 52%
Return-value docs: 100%
References docs: 57%

Downloads

54.9K

CRAN downloads in the past year

Rank #2,131 · ~150/day · ~4.6K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.7K30 days

10.5K90 days

54.9K1 year

Compare downloads with other packages →

Also on476 r2u16 autocran91 c2d4u

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (2)

R >= 3.3.0partykit

Imports (0)

none

LinkingTo (0)

none

Suggests (8)

Formula kernlablatticemlbench multcomp partyrpartxtable

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

4direct

0indirect

insurancerating mlr r2pmml stablelearner

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Thomas Grubinger

Author, Maintainer

Authors (3)

Thomas Grubinger

Author, Maintainer

Karl-Peter Pfeiffer

Author

Achim Zeileis

Author

Package Timeline

15 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
1.0-8Latest
2019-05-26 · current release · diff ↗
R
R 3.6.0 released · 2019-04-26
1.0-7
2018-05-23 · diff ↗
R
R 3.5.0 released · 2018-04-23
1.0-6
2017-12-15 · diff ↗
R
R 3.4.0 released · 2017-04-21
1.0-5
2017-04-06 · diff ↗
1.0-4
2017-04-02 · diff ↗
1.0-3
2017-03-31 · diff ↗

Show 16 earlier events

1.0-2
2017-01-24 · diff ↗
1.0-1
2016-10-14 · diff ↗
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
1.0-0
2014-10-15 · diff ↗
0.1-5
2014-07-01 · diff ↗
R
R 3.1.0 released · 2014-04-10
0.1-4
2013-11-26 · diff ↗
0.1-3
2013-06-17 · diff ↗
R
R 3.0.0 released · 2013-04-03
0.1-2
2012-04-11 · diff ↗
R
R 2.15.0 released · 2012-03-30
R
R 2.14.0 released · 2011-10-31
0.1-1
2011-10-02 · diff ↗
0.1-0
2011-09-30
R
R 2.13.0 released · 2011-04-13

Package metadata

First published: 2011-09-30
Total releases: 15 / 15 yrs
License: GPL-2 | GPL-3 OSI
Minimum R: ≥ 3.3.0
Bundled data: 517 KB / 5 files
Download size: 1.3 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Machine Learning & Statistical Learning

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("evtree")

Format

Grubinger, T., Pfeiffer, K., & Zeileis, A. (2019). evtree: Evolutionary Learning of Globally Optimal Trees (Version 1.0-8) [Computer software]. https://doi.org/10.32614/CRAN.package.evtree

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for evtree version 1.0-8 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

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.

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