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MRS

1.3.2

Multi-Resolution Scanning for Cross-Sample and Cross-Group Differences

0packages depend
264downloads / year
92.6%test coverage
13/13checks pass

Overview

About
Maintained by Li MaFirst published 2026-07-2211 releasesCRAN page ↗GitHub ↗

Implements the multi-resolution scanning (MRS) method for cross-sample distribution comparisons, as described in Soriano and Ma (2017) doi:10.1111/rssb.12180, and the analysis of distributional variation (ANDOVA) method for cross-group comparisons introduced in Ma and Soriano (2018) doi:10.1080/10618600.2017.1402774. Both methods use nonparametric models on multi-resolution partition trees to detect and characterize differences among distributions, with tools for visualizing the results.

Install

Health

CRAN checks
13OK
Slowest check: 3.4 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.27
92.6%
Coverage · measured lines
100%
Documentation · exports
1
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
  • OK2026-07-23
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 267 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
92%
Return-value docs
100%
References docs
88%

Downloads

264
CRAN downloads in the past year
Rank #24,408 · ~1/day · ~22/mo
Daily download trend is not available in this view yet.
23830 days
24090 days
2641 year
Compare downloads with other packages →
Also on347 r2u17 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-07-22

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/mastatlab/mrs on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (1)
LinkingTo (2)
Suggests (2)
KernSmoothtestthat
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

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

  • 1.3.2Latest
    2026-07-22 · current release · diff ↗
  • unarchivedReturned to CRAN
    2026-07-22
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • archivedRemoved from CRAN
    2025-02-03
    issues were not corrected in time UBSAN error at https://www.stats.ox.ac.uk/pub/bdr/M1-SAN/MRS/
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.6
    2023-12-11 · diff ↗
  • 1.2.5
    2023-12-09 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 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
  • 1.2.4
    2018-01-23 · diff ↗
  • 1.2.3
    2018-01-07 · diff ↗
Show 9 earlier events
  • 1.2.2
    2017-10-18 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 1.2.1
    2016-07-21 · diff ↗
  • 1.2
    2016-07-17 · diff ↗
  • 1.1.1
    2016-07-10 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 1.1
    2016-01-26 · diff ↗
  • 1.0
    2015-12-07
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2026-07-22
Total releases
11 / 1 yrs
License
GPL (>= 3) OSI
Download size
44 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MRS")
Ma, L., & Soriano, J. (2026). MRS: Multi-Resolution Scanning for Cross-Sample and Cross-Group Differences (Version 1.3.2) [Computer software]. https://doi.org/10.32614/CRAN.package.MRS

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 MRS version 1.3.2 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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