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, A.Rada-Iglesias, S.Enroth, C.Wadelius, J. Koronacki, J.Komorowski (2008) <doi:10.1093/bioinformatics/btm486>.
| Version: |
1.2.8 |
| Depends: |
rJava (≥ 0.5-0), R (≥ 2.70) |
| Imports: |
yaml, ggplot2, reshape2, dplyr, igraph (≥ 1.0.1) |
| Suggests: |
testthat, R.rsp |
| Published: |
2017-12-12 |
| Author: |
Michal Draminski [aut, cre],
Jacek Koronacki [aut],
Julian Zubek [ctb] |
| Maintainer: |
Michal Draminski <michal.draminski at ipipan.waw.pl> |
| License: |
GPL-3 |
| URL: |
www.ipipan.eu/staff/m.draminski/mcfs.html |
| NeedsCompilation: |
no |
| SystemRequirements: |
Java (>= 6.0) |
| Citation: |
rmcfs citation info |
| Materials: |
NEWS |
| CRAN checks: |
rmcfs results |
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