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 = 'https://cloud.r-project.org')
Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

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

openmp

1.78 score 208 downloads 6 mentions 3 exports 6 dependencies

Last updated 2 years agofrom:f435cb9974. Checks:2 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 20 2025
R-4.5-linux-x86_64NOTEMar 20 2025
R-4.4-linux-x86_64OKMar 20 2025

Exports:rmadrscrsc_cv

Dependencies:codetoolsdoParallelforeachiteratorslatticeMatrix

Citation

To cite package 'RSC' in publications use:

Coraggio, L., Coretto, P., Serra, A. and Tagliaferri, R. (2023). RSC: robust and sparse correlation matrix estimation. R package version 2.0.4url: https://CRAN.R-project.org/package=RSC

Serra, A., Coretto, P., Fratello, M., and Tagliaferri, R. (2018). Robust and sparse correlation matrix estimation for the analysis of high-dimensional genomics data. Bioinformatics, 34(4), 625-634.

Corresponding BibTeX entries: 

  @Manual{,
    title = {RSC: robust and sparse correlation matrix estimation},
    author = {Luca Coraggio and Pietro Coretto and Angela Serra and
      Roberto Tagliaferri},
    year = {2023},
    note = {R package version 2.0.4},
  }

  @Article{,
    title = {Robust and sparse correlation matrix estimation for the
      analysis of high-dimensional genomics data},
    author = {Angela Serra and Pietro Coretto and Michele Fratello and
      Roberto Tagliaferri},
    year = {2018},
    journal = {Bioinformatics},
    volume = {34},
    number = {4},
    pages = {625--634},
    doi = {10.1093/bioinformatics/btx642},
  }