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:Luca Coraggio [cre, aut], Pietro Coretto [aut], Angela Serra [aut], Roberto Tagliaferri [ctb]

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'))

Peer review:

Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 1.58 score 6 dependencies 6 mentions 5 scripts 224 downloads

Last updated 1 years agofrom:f435cb9974. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-linux-x86_64NOTEAug 22 2024

Exports:rmadrscrsc_cv

Dependencies:codetoolsdoParallelforeachiteratorslatticeMatrix