Package: ShrinkCovMat 2.1.0

ShrinkCovMat: Shrinkage Covariance Matrix Estimators

Provides nonparametric Steinian shrinkage estimators of the covariance matrix that are suitable in high dimensional settings, that is when the number of variables is larger than the sample size.

Authors:Anestis Touloumis [aut, cre]

ShrinkCovMat_2.1.0.tar.gz
ShrinkCovMat_2.1.0.zip(r-4.5)ShrinkCovMat_2.1.0.zip(r-4.4)ShrinkCovMat_2.1.0.zip(r-4.3)
ShrinkCovMat_2.1.0.tgz(r-4.4-x86_64)ShrinkCovMat_2.1.0.tgz(r-4.4-arm64)ShrinkCovMat_2.1.0.tgz(r-4.3-x86_64)ShrinkCovMat_2.1.0.tgz(r-4.3-arm64)
ShrinkCovMat_2.1.0.tar.gz(r-4.5-noble)ShrinkCovMat_2.1.0.tar.gz(r-4.4-noble)
ShrinkCovMat_2.1.0.tgz(r-4.4-emscripten)ShrinkCovMat_2.1.0.tgz(r-4.3-emscripten)
ShrinkCovMat.pdf |ShrinkCovMat.html✨
ShrinkCovMat/json (API)
NEWS

# Install 'ShrinkCovMat' in R:
install.packages('ShrinkCovMat', repos = c('https://anestistouloumis.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/anestistouloumis/shrinkcovmat/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • colon - Colon Cancer Dataset

On CRAN:

covariance-matrixshrinkage-estimators

4.83 score 8 stars 17 scripts 266 downloads 5 exports 2 dependencies

Last updated 1 years agofrom:7941b4c654. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64OKNov 07 2024
R-4.5-linux-x86_64OKNov 07 2024
R-4.4-win-x86_64OKNov 07 2024
R-4.4-mac-x86_64OKNov 07 2024
R-4.4-mac-aarch64OKNov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:shrinkcovmatshrinkcovmat.equalshrinkcovmat.identityshrinkcovmat.unequaltargetselection

Dependencies:RcppRcppArmadillo

Linear Shrinkage of Covariance Matrices

Rendered fromShrink_Covariance_Matrix.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2023-07-11
Started: 2022-10-02