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MRIreduce

1.0.0

ROI-Based Transformation of Neuroimages into High-Dimensional Data Frames

0packages depend
1.4Kdownloads / year
10.9%test coverage
12/13checks pass

Overview

About
Maintained by Jinyao TianFirst published 2026-04-221 releasesCRAN page ↗

Converts NIfTI format T1/FL neuroimages into structured, high-dimensional 2D data frames with a focus on region of interest (ROI) based processing. The package incorporates the partition algorithm, which offers a flexible framework for agglomerative partitioning based on the Direct-Measure-Reduce approach. This method ensures that each reduced variable maintains a user-specified minimum level of information while remaining interpretable, as each maps uniquely to one variable in the reduced dataset. The partition framework is described in Millstein et al. (2020) doi:10.1093/bioinformatics/btz661. The package allows customization in variable selection, measurement of information loss, and data reduction methods for neuroimaging analysis and machine learning workflows.

Install

Health

CRAN checks
1NOTE12OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
Slowest check: 3.4 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.03
10.9%
Coverage · measured lines
100%
Documentation · exports
9
Dependencies · direct
Check history
  • NOTE2026-06-09
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    11 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-04-25
    9 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-22
    5 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 386 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
20%
Documented parameters
100%
Return-value docs
86%
References docs
0%

Downloads

1.4K
CRAN downloads in the past year
Rank #10,946 · ~4/day · ~116/mo
Daily download trend is not available in this view yet.
15430 days
89290 days
1.4K1 year
Compare downloads with other packages →
Also on116 r2u14 autocran

Repository

Repository
0Stars
2Forks
0Open issues
1Open PRs
0Releases
40Commits
1Contributors
License Unlicense · 40 commits · Last activity 2025-01-27

Forks over time

2025-06-23 · 22026-07-07 · 2

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/uscbiostats/mrireduce on 2026-08-16.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0Latest
    2026-04-22 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-04-22
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Additional repositories
neuroconductor.org
Minimum R
≥ 3.5.0
Download size
641 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MRIreduce")
Tian, J., & Milstein, J. (2026). MRIreduce: ROI-Based Transformation of Neuroimages into High-Dimensional Data Frames (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.MRIreduce

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MRIreduce version 1.0.0 [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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