Package: rmcfs 1.3.6
Michal Draminski
rmcfs: The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery
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>.
Authors:
rmcfs_1.3.6.tar.gz
rmcfs_1.3.6.tar.gz(r-4.5-noble)rmcfs_1.3.6.tar.gz(r-4.4-noble)
rmcfs_1.3.6.tgz(r-4.4-emscripten)rmcfs_1.3.6.tgz(r-4.3-emscripten)
rmcfs.pdf |rmcfs.html✨
rmcfs/json (API)
NEWS
# Install 'rmcfs' in R: |
install.packages('rmcfs', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 months agofrom:105150ec71. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 05 2024 |
R-4.5-linux | OK | Nov 05 2024 |
Exports:artificial.databuild.idgraphexport.plotsexport.resultfix.dataimport.resultmcfsplot.idgraphplot.mcfsprint.mcfsprune.dataread.adhread.adxshowmewrite.adhwrite.adxwrite.arff
Dependencies:clicolorspacecpp11data.tabledplyrfansifarvergenericsggplot2gluegridExtragtableigraphisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rJavarlangscalesstringistringrtibbletidyselectutf8vctrsviridisLitewithryaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Creates artificial dataset | artificial.data |
Constructs interdependencies graph | build.idgraph |
Exports MCFS-ID result plots | export.plots |
Saves MCFS-ID result into set csv files | export.result |
Fixes input data values, column names and attributes types | fix.data |
Reads csv result files produced by the MCFS-ID Java module | import.result |
MCFS-ID (Monte Carlo Feature Selection and Interdependency Discovery) | mcfs |
Plots interdependencies graph | plot.idgraph |
Plots various MCFS result components | plot.mcfs |
Prints mcfs result | print.mcfs |
Filters input data | prune.data |
Reads data from ADH | read.adh |
Reads data from ADX | read.adx |
Basic data information | showme |
Writes data to ADH | write.adh |
Writes data to ADX | write.adx |
Writes data to ARFF | write.arff |