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 = c('https://cran.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

1.23 score 17 scripts 281 downloads 4 exports 2 dependencies

Last updated 5 years agofrom:7e8e7c33e6. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-linux-x86_64NOTENov 22 2024

Exports:shrinkcovmat.equalshrinkcovmat.identityshrinkcovmat.unequaltargetselection

Dependencies:RcppRcppArmadillo