Package: RSC 2.0.5

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_2.0.5.tar.gz
RSC_2.0.5.zip(r-4.7-x86_64)RSC_2.0.5.zip(r-4.7-arm64)RSC_2.0.5.zip(r-4.6-x86_64)RSC_2.0.5.zip(r-4.6-arm64)RSC_2.0.5.zip(r-4.5-x86_64)
RSC_2.0.5.tgz(r-4.6-x86_64)RSC_2.0.5.tgz(r-4.6-arm64)RSC_2.0.5.tgz(r-4.5-x86_64)RSC_2.0.5.tgz(r-4.5-arm64)
RSC_2.0.5.tar.gz(r-4.7-arm64)RSC_2.0.5.tar.gz(r-4.7-x86_64)RSC_2.0.5.tar.gz(r-4.6-arm64)RSC_2.0.5.tar.gz(r-4.6-x86_64)
RSC_2.0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RSC/json (API)

# Install 'RSC' in R:
install.packages('RSC', repos = c('https://lcorag.r-universe.dev', '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

1.82 score 1 stars 11 scripts 443 downloads 6 mentions 3 exports 6 dependencies

Last updated from:28218d537e. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK82
linux-devel-x86_64OK118
source / vignettesOK151
linux-release-arm64OK121
linux-release-x86_64OK110
macos-release-arm64OK114
macos-release-x86_64OK178
macos-oldrel-arm64OK168
macos-oldrel-x86_64OK301
windows-devel-arm64OK344
windows-devel-x86_64OK119
windows-release-arm64OK355
windows-release-x86_64OK93
windows-oldrel-x86_64OK101
wasm-releaseOK78

Exports:rmadrscrsc_cv

Dependencies:codetoolsdoParallelforeachiteratorslatticeMatrix