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Performs robust and sparse correlation matrix estimation. Robustness is achieved based on a simple robust pairwise correlation estimator, while sparsity is obtained based on thresholding. The optimal thresholding is tuned via cross-validation. See Serra, Coretto, Fratello and Tagliaferri (2018) <doi:10.1093/bioinformatics/btx642>.
| Version: | 2.0.4 |
| Imports: | stats, graphics, Matrix, methods, parallel, foreach, doParallel, utils |
| Published: | 2023-04-17 |
| Author: | Luca Coraggio [cre, aut], Pietro Coretto [aut], Angela Serra [aut], Roberto Tagliaferri [ctb] |
| Maintainer: | Luca Coraggio <luca.coraggio at unina.it> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | RSC citation info |
| Materials: | NEWS |
| CRAN checks: | RSC results |
| Reference manual: | RSC.pdf |
| Package source: | RSC_2.0.4.tar.gz |
| Windows binaries: | r-devel: RSC_2.0.4.zip, r-release: RSC_2.0.4.zip, r-oldrel: RSC_2.0.4.zip |
| macOS binaries: | r-release (arm64): RSC_2.0.4.tgz, r-oldrel (arm64): RSC_2.0.4.tgz, r-release (x86_64): RSC_2.0.4.tgz, r-oldrel (x86_64): RSC_2.0.4.tgz |
| Old sources: | RSC archive |
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