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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>.
+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",
@@ -20,8 +20,8 @@ Imports: stats, graphics, Matrix, methods, parallel, foreach,
doParallel, utils
License: GPL (>= 2)
LazyData: TRUE
-Version: 1.0
-Date: 2020-06-29
-Packaged: 2020-07-02 07:30:56 UTC; pietro
+Version: 1.2
+Date: 2020-07-24
+Packaged: 2020-07-24 07:47:23 UTC; pietro
Repository: CRAN
-Date/Publication: 2020-07-04 10:50:03 UTC
+Date/Publication: 2020-07-24 14:00:07 UTC