R Observatory: Metrics for missForest version 1.6.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

missForest

1.6.1

Nonparametric Missing Value Imputation using Random Forest

30packages depend

160.4Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Daniel J. StekhovenFirst published 2011-05-138 releasesCRAN page ↗GitHub ↗

The function 'missForest' in this package is used to impute missing values particularly in the case of mixed-type data. It uses a random forest (via 'ranger' or 'randomForest') trained on the observed values of a data matrix to predict the missing values. It can be used to impute continuous and/or categorical data including complex interactions and non-linear relations. It yields an out-of-bag (OOB) imputation error estimate without the need of a test set or elaborate cross-validation. It can be run in parallel to save computation time.

Install

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

install.packages("missForest", 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("stekhoven/missForest")

Development version from stekhoven/missForest. 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-missforest

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-missForest

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-missForest

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

Health

CRAN checks

13OK

Slowest check: 3.4 min · r-oldrel-macos-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

8

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 472 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 98%
Return-value docs: 100%
References docs: 67%

Downloads

160.4K

CRAN downloads in the past year

Rank #1,147 · ~440/day · ~13.4K/mo

Releases R versions

Daily download trend is not available in this view yet.

8.8K30 days

30.9K90 days

160.4K1 year

Compare downloads with other packages →

Also on1.1K r2u15 autocran4.4K conda_forge108 bioconda109 c2d4u

Repository

GitHub ↗ stekhoven/missforest

110Stars

25Forks

6Open issues

0Open PRs

1Releases

90Commits

9Contributors

90 commits · Last activity 2026-07-16 · +0.9% stars, 30d

Stars over time

2025-08-14 · 972026-08-02 · 110

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/stekhoven/missforest on 2026-08-16.

Continuous integration (2)

GitHub ActionsTravis CI

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (8)

randomForest ranger foreach iterators itertools doRNGstatsRdpack

LinkingTo (0)

none

Suggests (3)

doParallel knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

30direct

3indirect

Code & Tests

People & History

People (1)

Maintainer (1)

Daniel J. Stekhoven

Author, Maintainer

Authors (1)

Daniel J. Stekhoven

Author, Maintainer

Listed in earlier versions (1)

Stekhoven

no longer listed · 1.6.1

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.6.1Latest
2025-10-26 · current release · 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
1.5
2022-04-14 · diff ↗
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
R
R 3.1.0 released · 2014-04-10
1.4
2013-12-31 · diff ↗

Show 9 earlier events

1.3-1
2013-12-10 · diff ↗
R
R 3.0.0 released · 2013-04-03
1.3
2012-06-26 · diff ↗
R
R 2.15.0 released · 2012-03-30
1.2
2012-02-20 · diff ↗
1.1
2011-11-04 · diff ↗
R
R 2.14.0 released · 2011-10-31
1.0
2011-05-13
R
R 2.13.0 released · 2011-04-13

Package metadata

First published: 2011-05-13
Total releases: 8 / 15 yrs
License: GPL (>= 2) OSI
Download size: 263 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Missing Data

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("missForest")

Format

Stekhoven, D. J. (2025). missForest: Nonparametric Missing Value Imputation using Random Forest (Version 1.6.1) [Computer software]. https://doi.org/10.32614/CRAN.package.missForest

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 missForest version 1.6.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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