R Observatory: Metrics for RfEmpImp version 2.1.8

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RfEmpImp

2.1.8Package record

Multiple Imputation using Chained Random Forests

0packages depend

2.7Kdownloads / year

81.7%test coverage

11/13flavors OK

Overview

About

Maintained by Shangzhi HongCRAN page ↗GitHub ↗Issues ↗

An R package for multiple imputation using chained random forests. Implemented methods can handle missing data in mixed types of variables by using prediction-based or node-based conditional distributions constructed using random forests. For prediction-based imputation, the method based on the empirical distribution of out-of-bag prediction errors of random forests and the method based on normality assumption for prediction errors of random forests are provided for imputing continuous variables. And the method based on predicted probabilities is provided for imputing categorical variables. For node-based imputation, the method based on the conditional distribution formed by the predicting nodes of random forests, and the method based on proximity measures of random forests are provided. More details of the statistical methods can be found in Hong et al. (2020) arXiv:2004.14823.

Changes in 2.1.8

Documentation fixes for CRAN checks

From NEWS.md in the release

Install

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

install.packages("RfEmpImp", 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("shangzhi-hong/RfEmpImp")

Development version from shangzhi-hong/RfEmpImp. 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-rfempimp

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-RfEmpImp

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-RfEmpImp

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

2NOTE11OK

Check messages

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘Shangzhi Hong <shangzhi-hong@hotmail.com>’

The Description field contains
  <arXiv:2004.14823>.
Please refer to arXiv e-prints via their arXiv DOI <doi:10.48550/arXiv.YYMM.NNNNN>.

CRAN check page ↗

Slowest check: 2.8 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTE2026-06-09
ERROR11 OK, 1 NOTE, 1 ERROR2026-06-08
NOTE11 OK, 2 NOTE2026-05-02
ERROR9 OK, 2 NOTE, 1 ERROR2026-04-25
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.1.8

README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 2.1.8Citation fileYes · software entry onlyWebsitenot declared in DESCRIPTION

Help pages: 15 (1 internal)includes a package overview page
Examples that run: 100%12 run in a plain check
Exported functions with examples: 92%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 53%

Vignettes (1)

Introduction to RfEmpImp HTML

How these are measured

Downloads

2.7K

CRAN downloads in the past year

Rank #17,633 · ~7/day · ~222/mo

Releases R versions

Daily download trend is not available in this view yet.

24930 days

73690 days

2.7K1 year

Compare downloads with other packages →

Also on89 r2u7 autocran54 c2d4u

How downloads are counted

Repository

shangzhi-hong/rfempimp ↗Account: shangzhi-hong

5Stars

2Forks

0Open issues

0Open PRs

5Releases

83Commits

2Commit identities

imputationmissing-datarandom-forest

83 commits · Last activity 2022-10-20

Responsiveness

not measured

Stars over time

2024-06-26 · 42026-07-07 · 5

How these are measured

PracticesBeta

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

Checks run against github.com/shangzhi-hong/rfempimp on 2026-10-25.

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing RfEmpImp adds 54 packages (32 with compiled code, 40 MB of source tarballs). Heaviest: stringi 11 MB, lme4 4.3 MB, glmnet 2.7 MB.

Depends (3)

R >= 3.5.0mice ranger

Imports (0)

none

LinkingTo (0)

none

Suggests (3)

testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Shangzhi Hong

Author, Maintainer since 2.0.3 (2020)

Henry S. Lynn

Thesis advisor

Releases (3)

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
unarchivedReturned to CRAN
2022-10-20
2.1.8Latest
record
2022-10-20 · current release · diff ↗
archivedRemoved from CRAN
2022-10-03
check issues were not corrected despite reminders
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
2.1.5
record
2020-06-25 · diff ↗ ·
added 3 exports
conv.factor, query.rf.pred.idx, query.rf.pred.val
2.0.3
record
2020-05-16
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-05-16
Total releases: 3 / 6 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Download size: 149 KB

Appears in task views

Missing Data

Cite

Cite this package

Run in R for the authors' entry:

citation("RfEmpImp")

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for RfEmpImp version 2.1.8 [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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