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Distributional Random Forests

2packages depend
5.7Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

An implementation of distributional random forests as introduced in Cevid & Michel & Naf & Meinshausen & Buhlmann (2022) doi:10.48550/arXiv.2005.14458.

Install

Health

CRAN checks
13OK
Slowest check: 4.9 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • NOTE11 OK, 3 NOTE2026-04-22
  • ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
Show 1 earlier changeHide 1 earlier change
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.3.1
READMENoVignettesNoNEWSNoCitation fileNo
Help pages
16 (2 internal)
Examples that run
0%2 only when donttest examples are enabled (R CMD check --as-cran) · 4 never run
Exported functions with examples
83%
Documented parameters
97%
Return-value docs
100%
Help pages citing references
0%

Downloads

5.7K
CRAN downloads in the past year
Rank #4,497 · ~16/day · ~472/mo
Daily download trend is not available in this view yet.
56630 days
1.9K90 days
5.7K1 year
Compare downloads with other packages →
Also on404 r2u4 autocran

Repository

46Stars
11Forks
12Open issues
2Open PRs
0Releases
247Commits
8Commit identities
License file reads as GPL-3.0 · 247 commits · Last activity 2026-01-22 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
60
Median days to close, 50 most recently updated closed PRs
1

Stars over time

2025-09-10 · 452026-07-07 · 46
PracticesBeta

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

Checks run against github.com/lorismichel/drf on 2026-10-25.

Continuous integration (1)
Travis CI (config file)
Docs source (1)

GitHub Pages site last deployed 2026-01-22

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing drf adds 16 packages (11 with compiled code, 24 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, Rcpp 1.8 MB.

Depends (1)
R >= 3.4.4
Imports (5)
statsfastDummiesMatrixmethodsRcpp
LinkingTo (2)
Suggests (1)
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Imports 2
Depends, Imports or LinkingTo, most downloaded first

People & History

People (3)
Maintainer since 1.2.0 (2025) · added in 1.2.0

Previously maintained by Loris Michel (1.0.0 to 1.1.0).

Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.3.1Latest
    record
    2026-02-03 · current release · diff ↗
  • 1.3.0
    record
    2026-01-21 · diff ↗
  • 1.2.0
    record
    2025-12-08 · diff ↗
  • 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
  • unarchivedReturned to CRAN
    2021-03-29
  • archivedRemoved from CRAN
    2021-03-29
    check problems were not corrected in time
  • 1.1.0
    record
    2021-03-29 · diff ↗ ·
    added 1 export
    variableImportance
  • 1.0.0
    record
    2020-06-22
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-06-22
Total releases
5 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 3.4.4
Download size
77 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("drf")
Naf, J., Cevid, D., & Michel, L. (2026). drf: Distributional Random Forests (Version 1.3.1) [Computer software]. https://doi.org/10.32614/CRAN.package.drf

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 drf version 1.3.1 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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