R Observatory: Metrics for micompr version 1.3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

micompr

1.3.0

Multivariate Independent Comparison of Observations

0packages depend

2.9Kdownloads / year

35.7%test coverage

13/13checks pass

Overview

About

Maintained by Nuno FachadaFirst published 2016-05-0810 releasesCRAN page ↗GitHub ↗

A procedure for comparing multivariate samples associated with different groups. It uses principal component analysis to convert multivariate observations into a set of linearly uncorrelated statistical measures, which are then compared using a number of statistical methods. The procedure is independent of the distributional properties of samples and automatically selects features that best explain their differences, avoiding manual selection of specific points or summary statistics. It is appropriate for comparing samples of time series, images, spectrometric measures or similar multivariate observations. This package is described in Fachada et al. (2016) doi:10.32614/RJ-2016-055.

Install

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

install.packages("micompr", 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("nunofachada/micompr")

Development version from nunofachada/micompr. 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-micompr

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-micompr

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-micompr

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 3.2 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.29

35.7%

Coverage · measured lines

100%

Documentation · exports

4

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
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 237 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 86%
Documented parameters: 100%
Return-value docs: 100%
References docs: 2%

Downloads

2.9K

CRAN downloads in the past year

Rank #15,398 · ~8/day · ~244/mo

Releases R versions

Daily download trend is not available in this view yet.

13230 days

67790 days

2.9K1 year

Compare downloads with other packages →

Also on124 r2u20 autocran

Repository

GitHub ↗ nunofachada/micompr

3Stars

1Forks

0Open issues

0Open PRs

10Releases

320Commits

1Contributors

micomprr-packagermultivariate-observationsmultivariatemultivariate-datamultivariate-distributionsstatistical-tests

320 commits · Last activity 2025-08-25

Stars over time

2024-08-22 · 32026-07-07 · 3

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/nunofachada/micompr on 2026-08-16.

Continuous integration (1)

GitHub Actions

Reproducibility and dev environment (1)

data-raw/

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.4.0

Imports (4)

utilsgraphicsmethodsstats

LinkingTo (0)

none

Suggests (6)

biotools MVN testthat knitr roxygen2 devtools

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Nuno Fachada

Author, Maintainer

Authors (1)

Nuno Fachada

Author, Maintainer

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.3.0Latest
2025-08-25 · current release · diff ↗
1.2.0
2025-06-29 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.1.4
2023-08-20 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.1.3
2023-02-12 · diff ↗
1.1.2
2022-05-24 · diff ↗
unarchivedReturned to CRAN
2022-05-24
archivedRemoved from CRAN
2022-05-23
check issues were not corrected in time
R
R 4.2.0 released · 2022-04-22
1.1.1
2021-07-08 · diff ↗
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

Show 7 earlier events

R
R 3.5.0 released · 2018-04-23
1.1.0
2018-03-09 · diff ↗
1.0.2
2017-06-24 · diff ↗
R
R 3.4.0 released · 2017-04-21
1.0.1
2016-08-04 · diff ↗
1.0.0
2016-05-08
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2016-05-08
Total releases: 10 / 10 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.4.0
Bundled data: 853 KB / 4 files
Download size: 1.6 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("micompr")

Format

Fachada, N. (2025). micompr: Multivariate Independent Comparison of Observations (Version 1.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.micompr

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for micompr version 1.3.0 [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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