R Observatory: Metrics for grf version 2.6.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

grf

2.6.1

Generalized Random Forests

24packages dependsuggested by 11

147Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Erik SverdrupCRAN page ↗GitHub ↗Issues ↗

Forest-based statistical estimation and inference. GRF provides non-parametric methods for heterogeneous treatment effects estimation (optionally using right-censored outcomes, multiple treatment arms or outcomes, or instrumental variables), as well as least-squares regression, quantile regression, and survival regression, all with support for missing covariates.

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("grf-labs/grf")

Development version from grf-labs/grf. Installs pak first if it is not already available.

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-grf

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-grf

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-grf

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 12.6 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
WARNING12 OK, 1 WARNING2026-06-08
OK12 OK2026-04-25

Show 3 earlier changesHide 3 earlier changes

NOTE11 OK, 3 NOTE2026-04-22
ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.6.1

READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNo

Help pages: 65 (13 internal)includes a package overview page
Examples that run: 0%39 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples: 96%
Documented parameters: 91%
Return-value docs: 100%
Help pages citing references: 28%

Vignettes (1)

An introduction to grf

How these are measured

Downloads

147K

CRAN downloads in the past year

Rank #1,115 · ~403/day · ~12.3K/mo

Releases R versions

Daily download trend is not available in this view yet.

15.4K30 days

32.2K90 days

147K1 year

Compare downloads with other packages →

Also on1.1K r2u5 autocran10.1K conda_forge150 c2d4u

How downloads are counted

Repository

grf-labs/grf ↗Organization: grf-labs

1,117Stars

282Forks

69Open issues

0Open PRs

0Releases

2,137Commits

30Commit identities

causal-inferencerandom-foresteconometricsmachine-learningstatisticscausal-forest

License file reads as GPL-3.0 · 2,137 commits · Last activity 2026-04-30 · +0.6% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 95%
Median days to close, 50 most recently updated closed issues: 28
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-10-16 · 1,0402026-10-11 · 1,117

How these are measured

PracticesBeta

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

Checks run against github.com/grf-labs/grf on 2026-10-11.

Continuous integration (2)

GitHub ActionsAzure Pipelines

Governance and community (1)

Issue templates

Docs source (2)

GitHub Pages site last deployed 2026-04-30 · The repository has a site deploy workflow

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing grf adds 6 packages (5 with compiled code, 5.9 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, sandwich 1.4 MB.

Depends (1)

R >= 3.5.0

Imports (6)

DiceKriging lmtestMatrixmethodsRcpp sandwich

LinkingTo (2)

Rcpp RcppEigen

Suggests (8)

DiagrammeRMASSpolicytree rdrobustsurvivaltestthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

24direct

3indirect

Imports 24

Suggested by 11

Show all 35 packagesHide all 35 packages

Depends, Imports or LinkingTo, most downloaded first

Suggests, most downloaded first

targeted rdss badcontrols CRE SuperSurv evalHTE causaldef maq MetaHunt gdpar lorax

How these are counted

Code & Tests

Datasets

People & History

People (9)

Erik Sverdrup

Author, Maintainer since 2.3.2 (2024) · added in 0.10.4

Author

Author

Author

Contributor · added in 0.9.6

Vitor Hadad

Contributor · added in 0.10.3

David Hirshberg

Contributor · added in 0.10.4

Luke Miner

Contributor · added in 0.9.6

Marvin Wright

Contributor

Previously maintained by Julie Tibshirani (0.9.2 to 2.3.1).

Listed in earlier versions (1)

all contributors to the included version of Eigen

no longer listed · 0.9.2 to 0.9.4

Releases (27)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
2.6.1Latest
record
2026-03-04 · current release · diff ↗
2.6.0
record
2026-03-03 · diff ↗
2.5.0
record
2025-10-09 · diff ↗
R
R 4.5.0 released · 2025-04-11
2.4.0
record
2024-11-15 · diff ↗ ·
removed 7 exports
average_late, average_partial_effect, custom_forest, get_sample_weights, tune_causal_forest, tune_instrumental_forest, tune_regression_forest

added 1 export
grf_options
R
R 4.4.0 released · 2024-04-24
2.3.2
record
2024-02-25 · diff ↗
2.3.1
record
2023-10-01 · diff ↗
2.3.0
record
2023-05-11 · diff ↗
R
R 4.3.0 released · 2023-04-21
2.2.1
record
2022-12-15 · diff ↗ ·
added 1 export
rank_average_treatment_effect.fit
2.2.0
record
2022-08-06 · diff ↗ ·
added 1 export
lm_forest
R
R 4.2.0 released · 2022-04-22
2.1.0
record
2022-03-17 · diff ↗ ·
added 1 export
rank_average_treatment_effect
2.0.2
record
2021-07-14 · diff ↗

Show 21 earlier eventsHide 21 earlier events

2.0.1
record
2021-07-06 · diff ↗
2.0.0
record
2021-06-22 · diff ↗ ·
removed 2 exports
tune_ll_causal_forest, tune_ll_regression_forest

added 9 exports
causal_survival_forest, generate_causal_data, generate_causal_survival_data, get_forest_weights, get_leaf_node, get_scores, multi_arm_causal_forest, multi_regression_forest, probability_forest
R
R 4.1.0 released · 2021-05-18
1.2.0
record
2020-06-04 · diff ↗ ·
added 1 export
survival_forest
R
R 4.0.0 released · 2020-04-24
1.1.0
record
2020-03-12 · diff ↗
1.0.1
record
2019-12-06 · diff ↗
1.0.0
record
2019-12-02 · diff ↗ ·
added 2 exports
best_linear_projection, tune_instrumental_forest
0.10.4
record
2019-09-03 · diff ↗ ·
added 2 exports
average_late, tune_ll_causal_forest
0.10.3
record
2019-05-27 · diff ↗ ·
removed 2 exports
local_linear_forest, tune_local_linear_forest

added 4 exports
boosted_regression_forest, ll_regression_forest, merge_forests, tune_ll_regression_forest
R
R 3.6.0 released · 2019-04-26
0.10.2
record
2018-11-24 · diff ↗
0.10.1
record
2018-09-24 · diff ↗ ·
added 3 exports
local_linear_forest, test_calibration, tune_local_linear_forest
0.10.0
record
2018-05-09 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.9.6
record
2018-04-14 · diff ↗ ·
removed 1 export
estimate_average_effect

added 5 exports
average_treatment_effect, average_partial_effect, get_sample_weights, tune_causal_forest, tune_regression_forest
0.9.5
record
2018-01-09 · diff ↗ ·
added 1 export
variable_importance
0.9.4
record
2017-11-27 · diff ↗
0.9.3
record
2017-07-21 · diff ↗
0.9.2
record
2017-07-04
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-07-04
Total releases: 27 / 9 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 217 KB / 2 files
Download size: 612 KB

Appears in task views

Causal Inference Econometrics Machine Learning & Statistical Learning Missing Data

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("grf")

Format

Sverdrup, E., Athey, S., Friedberg, R., Hadad, V., Hirshberg, D., Miner, L., Tibshirani, J., Wager, S., & Wright, M. (2026). grf: Generalized Random Forests (Version 2.6.1) [Computer software]. https://doi.org/10.32614/CRAN.package.grf

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for grf version 2.6.1 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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