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mxnorm

1.1.0Package record

Apply Normalization Methods to Multiplexed Images

0packages depend
6.3Kdownloads / year
48.8%test coverage
13/13flavors OK

Overview

About

Implements methods to normalize multiplexed imaging data, including statistical metrics and visualizations to quantify technical variation in this data type. Reference for methods listed here: Harris, C., Wrobel, J., & Vandekar, S. (2022). mxnorm: An R Package to Normalize Multiplexed Imaging Data. Journal of Open Source Software, 7(71), 4180, doi:10.21105/joss.04180.

Changes in 1.1.0
  • Added a NEWS.md file to track changes to the package.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.7 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
  • OK13 OK2026-05-02
Show 4 earlier changesHide 4 earlier changes
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-04-10
  • ERROR13 OK, 1 ERROR2026-04-09
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1.0
READMEYes · 666 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 1.1.0Citation fileNoWebsitenot declared in DESCRIPTION
Description cites a JOSS paper
Help pages
12
Examples that run
100%11 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
8%

Downloads

6.3K
CRAN downloads in the past year
Rank #8,557 · ~17/day · ~521/mo
Daily download trend is not available in this view yet.
42130 days
1.1K90 days
6.3K1 year
Compare downloads with other packages →
Also on78 r2u6 autocran

Repository

8Stars
3Forks
2Open issues
1Open PRs
3Releases
151Commits
3Commit identities
rpackagecran
151 commits · Last activity 2025-09-08 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
4
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-01-16 · 72026-07-07 · 8
PracticesBeta

7 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/colemanrharris/mxnorm on 2026-10-11.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux

Docs source (1)
README.Rmd
Coverage (1)
Coverage reporting (Codecov)
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
21 external dependencies (excludes base and recommended)

Installing mxnorm adds 112 packages (69 with compiled code, 102 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 1.0.0 (2022)
Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.0Latest
    record
    2025-09-08 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.3
    record
    2023-05-01 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.2
    record
    2022-06-01 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.1
    record
    2022-02-26 · diff ↗
  • 1.0.0
    record
    2022-02-22
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-02-22
Total releases
5 / 4 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Bundled data
8.0 KB / 1 file
Download size
1.1 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mxnorm")
Harris, C. (2025). mxnorm: Apply Normalization Methods to Multiplexed Images (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.mxnorm

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mxnorm version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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