R Observatory: Metrics for MACP version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2024-05-04. Its history is shown below.

Reason: issues were not corrected in time

Details below reflect version 0.1.0, its last release before removal.

MACP

0.1.0

Macromolecular Assemblies from Co-Elution Profile (MACP)

0packages depend

–downloads / year

–test coverage

–checks pass

Overview

About

Maintained by Matineh Rahmatbakhsh1 releasesCRAN page ↗GitHub ↗

The MACP employs machine learning algorithm for automated scoring of co-fractionation mass spectrometry (CF-MS) and then systematically map multi-protein complexes from these high-confidence protein-protein interactions (PPIs) using unsupervised learning (i.e., clustering).

Install

R (source archive)pak (dev)Ubuntu (r2u)

url <- "https://cran.r-project.org/src/contrib/Archive/MACP/MACP_0.1.0.tar.gz"
pkgFile <- "MACP_0.1.0.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (0.1.0) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("mrbakhsh/MACP")

Development version from mrbakhsh/MACP. 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-macp

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

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

17

Dependencies · direct

Documentation

READMEYes · 180 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 97%
Return-value docs: 100%
References docs: 10%

Downloads

MACP Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on82 r2u

Dependencies

Declared dependencies

34 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1

Imports (17)

statszooutilsdplyr lsa WGCNA tidyr tibble Hmisc igraph PRROC pROC ggplot2grDevicesfmsb stringr caret

LinkingTo (0)

none

Suggests (20)

knitr ptw e1071 kernlab ranger proxy infotheo gridExtra philentropy randomForest gprofiler2 purrr minet entropy MCL orthogene protti arules rmarkdown BiocStyle

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (2)

Other (2)

Matineh Rahmatbakhsh

Contributor

Mohan Babu

Contributor

Package Timeline

1 release. R releases are shown for context.

R
R 4.5.0 released · 2025-04-11
archivedRemoved from CRAN
2024-05-04
issues were not corrected in time
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.1.0
2023-02-28
R
R 4.2.0 released · 2022-04-22

Package metadata

Total releases: 1
License: BSD_3_clause + file LICENSE OSI
Minimum R: ≥ 4.1
Bundled data: 20 KB / 2 files
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MACP")

Format

Rahmatbakhsh, M., & Babu, M. (n.d.). MACP: Macromolecular Assemblies from Co-Elution Profile (MACP) (Version 0.1.0) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=MACP

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 MACP version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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