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rmcfs  

The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery
View on CRAN: Click here


Download and install rmcfs package within the R console
Install from CRAN:
install.packages("rmcfs")

Install from Github:
library("remotes")
install_github("cran/rmcfs")

Install by package version:
library("remotes")
install_version("rmcfs", "1.3.6")



Attach the package and use:
library("rmcfs")
Maintained by
Michal Draminski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-03-28
Latest Update: 2021-09-18
Description:
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) .
How to cite:
Michal Draminski (2016). rmcfs: The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery. R package version 1.3.6, https://cran.r-project.org/web/packages/rmcfs. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.1.0 (2016-03-28 23:29), 1.1.1 (2016-03-30 00:51), 1.1.2 (2016-10-25 23:00), 1.2.2 (2017-02-14 00:07), 1.2.3 (2017-02-27 17:47), 1.2.4 (2017-03-10 11:50), 1.2.5 (2017-04-30 21:30), 1.2.6 (2017-07-03 18:37), 1.2.7 (2017-11-25 00:30), 1.2.8 (2017-12-12 05:17), 1.2.9 (2018-02-07 17:16), 1.2.10 (2018-03-27 23:43), 1.2.11 (2018-05-18 06:12), 1.2.12 (2018-07-26 18:30), 1.2.13 (2018-07-27 19:50), 1.2.14 (2018-08-07 11:20), 1.2.15 (2018-10-20 20:40), 1.3.0 (2019-05-12 07:00), 1.3.1 (2020-01-20 13:40), 1.3.2 (2021-05-28 19:20), 1.3.3 (2021-06-12 19:40), 1.3.4 (2021-07-08 18:20), 1.3.5 (2021-09-18 15:30)
Other packages that cited rmcfs R package
View rmcfs citation profile
Other R packages that rmcfs depends, imports, suggests or enhances
Complete documentation for rmcfs
Functions, R codes and Examples using the rmcfs R package
Some associated functions: artificial.data . build.idgraph . export.plots . export.result . fix.data . import.result . mcfs . plot.idgraph . plot.mcfs . print.mcfs . prune.data . read.adh . read.adx . showme . write.adh . write.adx . write.arff . 
Some associated R codes: cmatrix.R . onLoad.R . rmcfs.R . rmcfs.io.R . rmcfs.plot.R . utils.R .  Full rmcfs package functions and examples
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