R Observatory: Metrics for easyEWAS version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

easyEWAS

1.0.1Package record

Perform and Visualize EWAS Analysis

0packages depend

3.4Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Yuting WangCRAN page ↗GitHub ↗Website ↗Issues ↗

Tools for conducting epigenome-wide association studies (EWAS) and visualizing results. Users provide sample metadata and methylation matrices to run EWAS with linear models, linear mixed-effects models, or Cox models. The package supports downstream visualization, bootstrap validation, enrichment analysis, batch effect correction, and differentially methylated region (DMR) analysis with optional parallel computing. Methods are described in Wang et al. (2025) doi:10.1093/bioadv/vbaf026, Johnson et al. (2007) doi:10.1093/biostatistics/kxj037, and Peters et al. (2015) doi:10.1186/1756-8935-8-6.

Install

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

install.packages("easyEWAS", 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("ytwangZero/easyEWAS")

Development version from ytwangZero/easyEWAS. 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-easyewas

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-easyEWAS

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-easyEWAS

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: 3.5 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK12 OK2026-04-25

Show 1 earlier changeHide 1 earlier change

NOTE4 OK, 1 NOTE2026-03-17

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.1

READMENoVignettesNoNEWSNoCitation fileNoWebsiteYes

Help pages: 14 (1 internal)includes a package overview page
Examples that run: 67%6 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 90%
Documented parameters: 97%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

3.4K

CRAN downloads in the past year

Rank #8,383 · ~9/day · ~280/mo

Releases R versions

Daily download trend is not available in this view yet.

39830 days

1.1K90 days

3.4K1 year

Compare downloads with other packages →

Also on50 r2u7 autocran

How downloads are counted

Repository

ytwangzero/easyewas ↗Account: ytwangZero

17Stars

7Forks

3Open issues

0Open PRs

0Releases

150Commits

4Commit identities

License file reads as GPL-3.0 · 150 commits · Last activity 2026-08-20 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 0%
Median days to close, 50 most recently updated closed issues: 106
Median days to close, 50 most recently updated closed PRs: 24

Stars over time

2025-09-23 · 142026-08-21 · 17

How these are measured

PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/ytwangzero/easyewas on 2026-10-11.

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

24 external dependencies (excludes base and recommended)

Installing easyEWAS adds 111 packages (56 with compiled code, 94 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 4.4.0

Imports (17)

R6bootCMplot ddpcr doParallel dplyr foreach lmerTest magrittrparallelreadxlsurvivaltictoc vroom withr R.utils lubridate

LinkingTo (0)

none

Suggests (10)

AnnotationHub ExperimentHub DMRcate sva BiocParallel clusterProfiler enrichplot org.Hs.eg.db knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Yuting Wang

Author, Maintainer since 1.0.1 (2026)

Xu Gao

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
1.0.1Latest
record
2026-03-16 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-03-16
Total releases: 1 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 4.4.0
Bundled data: 901 KB / 2 files
Download size: 937 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("easyEWAS")

Format

Wang, Y., & Gao, X. (2026). easyEWAS: Perform and Visualize EWAS Analysis (Version 1.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.easyEWAS

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 easyEWAS version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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