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conTree

0.3-1Package record

Contrast Trees and Boosting

0packages depend
2.5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Contrast trees represent a new approach for assessing the accuracy of many types of machine learning estimates that are not amenable to standard (cross) validation methods; see "Contrast trees and distribution boosting", Jerome H. Friedman (2020) doi:10.1073/pnas.1921562117. In situations where inaccuracies are detected, boosted contrast trees can often improve performance. Functions are provided to to build such trees in addition to a special case, distribution boosting, an assumption free method for estimating the full probability distribution of an outcome variable given any set of joint input predictor variable values.

Changes in 0.3-1
  • Remove Visual Fortran comments in source.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.4 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.3-1
READMEYes · 115 wordsVignettesYes · 1 · staticNEWSYes · 100% structured · mentions 0.3-1Citation fileNoWebsiteYes
Help pages
16includes a package overview page
Examples that run
100%1 run in a plain check
Exported functions with examples
8%
Documented parameters
97%
Return-value docs
100%
Help pages citing references
13%
Vignettes (1)

Downloads

2.5K
CRAN downloads in the past year
Rank #19,427 · ~7/day · ~209/mo
Daily download trend is not available in this view yet.
23330 days
68290 days
2.5K1 year
Compare downloads with other packages →
Also on501 r2u9 autocran

Repository

0Stars
1Forks
0Open issues
0Open PRs
1Releases
32Commits
1Commit identities
32 commits · Last activity 2023-11-21
Responsiveness
not measured

Forks over time

2024-12-05 · 12026-07-07 · 1
PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/bnaras/contree on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing conTree adds no packages beyond those that come with R.

Depends (1)
R >= 3.5
Imports (2)
statsgraphics
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.3 (2023)
Author, Copyright holder
Releases (2)

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
  • 0.3-1Latest
    record
    2023-11-22 · current release · diff ↗
  • 0.3
    record
    2023-06-07
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-06-07
Total releases
2 / 3 yrs
License
Apache License 2.0 OSI
Minimum R
≥ 3.5
Bundled data
1.7 MB / 3 files
Download size
1.9 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("conTree")
Narasimhan, B., & Friedman, J. (2023). conTree: Contrast Trees and Boosting (Version 0.3-1) [Computer software]. https://doi.org/10.32614/CRAN.package.conTree

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 conTree version 0.3-1 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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