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RSC: Robust and Sparse Correlation Matrix

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
DOI: 10.32614/CRAN.package.RSC
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

Documentation:

Reference manual: RSC.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=RSC to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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