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rmcfs

1.3.6Package record

The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery

1packages depend
4.9Kdownloads / year
66.9%test coverage
13/13flavors OK

Overview

About

MCFS-ID (Monte Carlo Feature Selection and Interdependency Discovery) is a Monte Carlo method-based tool for feature selection. It also allows for the discovery of interdependencies between the relevant features. MCFS-ID is particularly suitable for the analysis of high-dimensional, 'small n large p' transactional and biological data. M. Draminski, J. Koronacki (2018) doi:10.18637/jss.v085.i12.

Changes in 1.3.6
  • iGraph >2.0.3 compatibility updates
  • various memory optimization changes (mode=2 OutOfMemoryError fixed)
  • reference links to publication updated

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.5 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
  • WARNING12 OK, 1 WARNING2026-06-07
Show 3 earlier changesHide 3 earlier changes
  • OK14 OK2026-04-06
  • ERROR13 OK, 1 ERROR2026-04-04
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.3.6
READMENoVignettesYes · 1 · staticNEWSYes · 100% structured · mentions 1.3.6Citation fileYes · cites a publicationWebsiteYes
Cites a JSS article
Help pages
17
Examples that run
12%2 run in a plain check · 15 never run
Exported functions with examples
100%
Documented parameters
99%
Return-value docs
35%
Help pages citing references
6%

Downloads

4.9K
CRAN downloads in the past year
Rank #6,761 · ~14/day · ~411/mo
Daily download trend is not available in this view yet.
47230 days
1.3K90 days
4.9K1 year
Compare downloads with other packages →
Also on134 r2u5 autocran1.5K conda_forge85 c2d4u

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing rmcfs adds 35 packages (20 with compiled code, 41 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (2)
R >= 2.70rJava
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

People & History

People (3)
Author, Maintainer since 1.1.0 (2016)
Contributor
Releases (24)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.3.6Latest
    record
    2024-08-19 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.3.5
    record
    2021-09-18 · diff ↗
  • 1.3.4
    record
    2021-07-08 · diff ↗
  • 1.3.3
    record
    2021-06-12 · diff ↗
  • 1.3.2
    record
    2021-05-28 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.3.1
    record
    2020-01-20 · diff ↗
  • 1.3.0
    record
    2019-05-12 · diff ↗ ·
    added 1 export
    export.plots
  • R
    R 3.6.0 released · 2019-04-26
  • 1.2.15
    record
    2018-10-20 · diff ↗
Show 22 earlier eventsHide 22 earlier events

Package metadata

First published
2016-03-28
Total releases
24 / 10 yrs
License
GPL-3 OSI
Minimum R
≥ 2.70
Download size
4.5 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("rmcfs")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v085.i12.

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 rmcfs version 1.3.6 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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