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Computes mutual information matrices from continuous, categorical and survival variables, as well as feature selection with minimum redundancy, maximum relevance (mRMR) and a new ensemble mRMR technique. Published in De Jay et al. (2013) <doi:10.1093/bioinformatics/btt383>.
| Version: | 2.1.2.1 |
| Depends: | R (≥ 3.5), survival, igraph, methods |
| Published: | 2023-04-25 |
| Author: | Nicolas De Jay [aut], Simon Papillon-Cavanagh [aut], Catharina Olsen [aut], Gianluca Bontempi [aut], Bo Li [aut], Christopher Eeles [ctb], Benjamin Haibe-Kains [aut, cre] |
| Maintainer: | Benjamin Haibe-Kains <benjamin.haibe.kains at utoronto.ca> |
| License: | Artistic-2.0 |
| URL: | https://www.pmgenomics.ca/bhklab/ |
| NeedsCompilation: | yes |
| Citation: | mRMRe citation info |
| CRAN checks: | mRMRe results |
| Reference manual: | mRMRe.pdf |
| Vignettes: |
mRMRe: an R package for parallelized mRMR ensemble feature selection |
| Package source: | mRMRe_2.1.2.1.tar.gz |
| Windows binaries: | r-devel: mRMRe_2.1.2.1.zip, r-release: mRMRe_2.1.2.1.zip, r-oldrel: mRMRe_2.1.2.1.zip |
| macOS binaries: | r-release (arm64): mRMRe_2.1.2.1.tgz, r-oldrel (arm64): mRMRe_2.1.2.1.tgz, r-release (x86_64): mRMRe_2.1.2.1.tgz, r-oldrel (x86_64): mRMRe_2.1.2.1.tgz |
| Old sources: | mRMRe archive |
| Reverse imports: | PAA, UBayFS |
| Reverse suggests: | FRESA.CAD, mlr, mlrCPO, tidyfit |
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