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:	2.0.2
Imports:	stats, graphics, Matrix, methods, parallel, foreach, doParallel, utils
Published:	2022-06-20
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_2.0.2.tar.gz
Windows binaries:	r-devel: RSC_2.0.2.zip, r-release: RSC_2.0.2.zip, r-oldrel: RSC_2.0.2.zip
macOS binaries:	r-release (arm64): RSC_2.0.2.tgz, r-oldrel (arm64): RSC_2.0.2.tgz, r-release (x86_64): RSC_2.0.2.tgz, r-oldrel (x86_64): RSC_2.0.2.tgz
Old sources:	RSC archive

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