glasso: Graphical Lasso: Estimation of Gaussian Graphical Models (original) (raw)
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 |
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Published: | 2019-10-01 |
DOI: | 10.32614/CRAN.package.glasso |
Author: | Jerome Friedman, Trevor Hastie and Rob Tibshirani |
Maintainer: | Rob Tibshirani |
License: | GPL-2 |
URL: | http://www-stat.stanford.edu/~tibs/glasso |
NeedsCompilation: | yes |
In views: | Psychometrics |
CRAN checks: | glasso results |
Documentation:
Downloads:
Reverse dependencies:
Reverse depends: | abundant, hglasso, INDEED, MRCE, regmed, scLink, sparseBC |
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Reverse imports: | BSL, cicero, countprop, CVglasso, detectR, ecoCopula, EGAnet, EMgaussian, graphicalVAR, heteromixgm, iDINGO, jointMeanCov, LDABiplots, leakyIV, lglasso, LUCIDus, lvnet, MatrixLDA, missoNet, mombf, NetDA, netgwas, nethet, nutriNetwork, pgraph, psychonetrics, qgraph, robsel, robustcov, scout, sdafilter, SEMgraph, sGMRFmix, shock, SILGGM, sparseMatEst, SparseTSCGM, TransGraph, TransTGGM |
Reverse suggests: | bootnet, GGMselect, glassoFast, sAIC, textplot |
Linking:
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