CRAN: Package glasso

glasso: Graphical Lasso: Estimation of Gaussian Graphical Models

Estimation of a sparse inverse covariance matrix using a lasso (L1) penalty. Facilities are provided for estimates along a path of values for the regularization parameter.

Version: 1.11

Published: 2019年10月01日

DOI: 10.32614/CRAN.package.glasso

Author: Jerome Friedman, Trevor Hastie and Rob Tibshirani

Maintainer: Rob Tibshirani <tibs at stat.stanford.edu>

License: GPL-2

URL: http://www-stat.stanford.edu/~tibs/glasso

NeedsCompilation: yes

In views: Psychometrics

CRAN checks: glasso results

Documentation:

Reference manual: glasso.html , glasso.pdf

Downloads:

Package source: glasso_1.11.tar.gz

Windows binaries: r-devel: glasso_1.11.zip, r-release: glasso_1.11.zip, r-oldrel: glasso_1.11.zip

macOS binaries: r-release (arm64): glasso_1.11.tgz, r-oldrel (arm64): glasso_1.11.tgz, r-release (x86_64): glasso_1.11.tgz, r-oldrel (x86_64): glasso_1.11.tgz

Old sources: glasso archive

Reverse dependencies:

Reverse depends: abundant, INDEED, MRCE, regmed, scLink

Reverse imports: BSL, cicero, countprop, CVglasso, detectR, DNEA, ecoCopula, EGAnet, EMgaussian, graphicalVAR, heteromixgm, iDINGO, jointMeanCov, leakyIV, lglasso, LUCIDus, lvnet, mombf, NetDA, netgwas, nethet, nutriNetwork, PAGE, pgraph, psychonetrics, qgraph, robsel, scout, sdafilter, SEMgraph, sGMRFmix, SILGGM, sparseMatEst, TransGraph

Reverse suggests: bootnet, glassoFast, missoNet, sAIC, textplot

Linking:

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