Package: RSC 2.0.4
Luca Coraggio
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>.
Authors:
RSC_2.0.4.tar.gz
RSC_2.0.4.tar.gz(r-4.5-noble)RSC_2.0.4.tar.gz(r-4.4-noble)
RSC_2.0.4.tgz(r-4.4-emscripten)RSC_2.0.4.tgz(r-4.3-emscripten)
RSC.pdf |RSC.html✨
RSC/json (API)
NEWS
| # Install 'RSC' in R: |
| install.packages('RSC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:f435cb9974. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 20 2024 |
Dependencies:codetoolsdoParallelforeachiteratorslatticeMatrix
