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>.
| Version: |
1.3.1 |
| Depends: |
rJava (≥ 0.5-0), R (≥ 2.70) |
| Imports: |
yaml, ggplot2, gridExtra, reshape2, dplyr, stringi, igraph, data.table (≥ 1.0.1) |
| Suggests: |
testthat, R.rsp |
| Published: |
2020-01-20 |
| Author: |
Michal Draminski [aut, cre],
Jacek Koronacki [aut],
Julian Zubek [ctb] |
| Maintainer: |
Michal Draminski <michal.draminski at ipipan.waw.pl> |
| License: |
GPL-3 |
| URL: |
https://home.ipipan.waw.pl/m.draminski/mcfs.html |
| NeedsCompilation: |
no |
| SystemRequirements: |
Java (>= 7) |
| Citation: |
rmcfs citation info |
| Materials: |
NEWS |
| CRAN checks: |
rmcfs results |