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evtree

1.0-8Package record

Evolutionary Learning of Globally Optimal Trees

1packages dependsuggested by 3
42.7Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Changes in 1.0-8
  • Updated reference output (due to changes in the random sample() generation in 3.6.0)

From NEWS in the release

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Thomas Grubinger <ThomasGrubinger@gmail.com>’

Package CITATION file contains call(s) to old-style personList() or
as.personList().  Please use c() on person objects instead.
Package CITATION file contains call(s) to old-style citEntry().  Please
use bibentry() instead.

CRAN check page ↗

Slowest check: 4.5 min · r-oldrel-macos-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-06-27
  • WARNING10 OK, 2 NOTE, 1 WARNING2026-06-14
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0-8
READMENoVignettesYes · 1 · dynamicNEWSYes · 0% structured · mentions 1.0-8Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
7includes a package overview page
Examples that run
83%5 run in a plain check · 1 never run
Exported functions with examples
50%
Documented parameters
52%
Return-value docs
100%
Help pages citing references
57%

Downloads

42.7K
CRAN downloads in the past year
Rank #2,390 · ~117/day · ~3.6K/mo
Daily download trend is not available in this view yet.
2.2K30 days
6.8K90 days
42.7K1 year
Compare downloads with other packages →
Also on465 r2u5 autocran201 c2d4u

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing evtree adds 8 packages (5 with compiled code, 6.8 MB of source tarballs). Heaviest: partykit 2.1 MB, sandwich 1.4 MB, mvtnorm 1.0 MB.

Depends (2)
R >= 3.3.0partykit
Imports (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Suggested by 3
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

Datasets

People & History

People (3)
Author, Maintainer since 0.1-0 (2011)
Releases (15)

Pick two releases to compare their code metrics.

  • 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
    record
    2019-05-26 · current release · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0-7
    record
    2018-05-23 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0-6
    record
    2017-12-15 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 1.0-5
    record
    2017-04-06 · diff ↗
  • 1.0-4
    record
    2017-04-02 · diff ↗
  • 1.0-3
    record
    2017-03-31 · diff ↗
Show 16 earlier eventsHide 16 earlier events

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

Cite

Cite this package

Run in R for the authors' entry:

citation("evtree")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for evtree version 1.0-8 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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