Package: RSC
Type: Package
Title: Robust and Sparse Correlation Matrix
Description: 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>.
Authors@R: c(person("Luca", "Coraggio",
                    role = c("cre", "aut"), email = "luca.coraggio@unina.it"),
             person("Pietro", "Coretto",
	            role = c("aut"), email = "pcoretto@unisa.it"),
             person("Angela", "Serra",
	            role = c("aut"), email = "angela.serra@tuni.fi"),
             person("Roberto", "Tagliaferri",
	            role = c("ctb"), email = "robtag@unisa.it")) 
Author: Luca Coraggio [cre, aut],
  Pietro Coretto [aut],
  Angela Serra [aut],
  Roberto Tagliaferri [ctb]
Maintainer: Luca Coraggio <luca.coraggio@unina.it>
NeedsCompilation: yes
Imports: stats, graphics, Matrix, methods, parallel, foreach,
        doParallel, utils
License: GPL (>= 2)
Version: 2.0.5
Date: 2025-09-09
Packaged: 2025-09-09 10:25:15 UTC; lcorag
Repository: CRAN
Date/Publication: 2025-09-09 12:40:13 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 04:44:18 UTC; unix
Archs: RSC.so.dSYM
