Package: covglasso 1.0.3

Michael Fop

covglasso: Sparse Covariance Matrix Estimation

Direct sparse covariance matrix estimation via the covariance graphical lasso by Bien, Tibshirani (2011) <doi:10.1093/biomet/asr054> using the fast coordinate descent algorithm of Wang (2014) <doi:10.1007/s11222-013-9385-5>.

Authors:Michael Fop [aut, cre], Hao Wang [ctb]

covglasso_1.0.3.tar.gz
covglasso_1.0.3.tar.gz(r-4.5-noble)covglasso_1.0.3.tar.gz(r-4.4-noble)
covglasso_1.0.3.tgz(r-4.4-emscripten)covglasso_1.0.3.tgz(r-4.3-emscripten)
covglasso.pdf |covglasso.html
covglasso/json (API)
NEWS

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

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

openblascpp

1.48 score 1 packages 1 scripts 255 downloads 2 exports 2 dependencies

Last updated 3 years agofrom:7f3bf03479. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 14 2024
R-4.5-linux-x86_64OKDec 14 2024

Exports:controlcovglasso

Dependencies:RcppRcppArmadillo