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shock: Slope Heuristic for Block-Diagonal Covariance Selection in High Dimensional Gaussian Graphical Models

Block-diagonal covariance selection for high dimensional Gaussian graphical models. The selection procedure is based on the slope heuristics.

Version: 1.0
Imports: glasso, mvtnorm, capushe, GGMselect, igraph, stats
Published: 2015-12-24
Author: Emilie Devijver, Melina Gallopin
Maintainer: Melina Gallopin <melina.gallopin at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: shock results

Documentation:

Reference manual: shock.pdf

Downloads:

Package source: shock_1.0.tar.gz
Windows binaries: r-devel: shock_1.0.zip, r-release: shock_1.0.zip, r-oldrel: shock_1.0.zip
macOS binaries: r-release (arm64): shock_1.0.tgz, r-oldrel (arm64): shock_1.0.tgz, r-release (x86_64): shock_1.0.tgz, r-oldrel (x86_64): shock_1.0.tgz

Reverse dependencies:

Reverse suggests: xLLiM

Linking:

Please use the canonical form https://CRAN.R-project.org/package=shock to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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