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-4.7-arm64)covglasso_1.0.3.tar.gz(r-4.7-x86_64)covglasso_1.0.3.tar.gz(r-4.6-arm64)covglasso_1.0.3.tar.gz(r-4.6-x86_64)
covglasso_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
covglasso/json (API)
NEWS

# Install 'covglasso' in R:
install.packages('covglasso', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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 3 scripts 222 downloads 2 exports 2 dependencies

Last updated from:7f3bf03479. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK125
linux-devel-x86_64OK112
source / vignettesOK159
linux-release-arm64OK156
linux-release-x86_64OK115
wasm-releaseOK111

Exports:controlcovglasso

Dependencies:RcppRcppArmadillo