Package: ShrinkCovMat 1.4.0

Anestis Touloumis

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_1.4.0.tar.gz
ShrinkCovMat_1.4.0.tar.gz(r-4.5-noble)ShrinkCovMat_1.4.0.tar.gz(r-4.4-noble)
ShrinkCovMat_1.4.0.tgz(r-4.4-emscripten)ShrinkCovMat_1.4.0.tgz(r-4.3-emscripten)
ShrinkCovMat.pdf |ShrinkCovMat.html
ShrinkCovMat/json (API)
NEWS

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

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:

Conda-Forge:

openblascppopenmp

1.26 score 18 scripts 338 downloads 4 exports 2 dependencies

Last updated 6 years agofrom:7e8e7c33e6. Checks:1 OK, 1 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 20 2025
R-4.5-linux-x86_64NOTEFeb 20 2025

Exports:shrinkcovmat.equalshrinkcovmat.identityshrinkcovmat.unequaltargetselection

Dependencies:RcppRcppArmadillo