Package: shock 1.0

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.

Authors:Emilie Devijver, Melina Gallopin

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shock.pdf |shock.html
shock/json (API)

# Install 'shock' in R:
install.packages('shock', repos = c('https://melinagall.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • dataTest - Simulated data to test the R package

On CRAN:

Conda:

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

1.00 score 6 scripts 563 downloads 5 exports 18 dependencies

Last updated 9 years agofrom:c5ae1b3b52. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 02 2025
R-4.5-winOKApr 02 2025
R-4.5-macOKApr 02 2025
R-4.5-linuxOKApr 02 2025
R-4.4-winOKApr 02 2025
R-4.4-macOKApr 02 2025
R-4.4-linuxOKApr 02 2025
R-4.3-winOKApr 02 2025
R-4.3-macOKApr 02 2025

Exports:computeLoglikeFromPartitionnetworkInferenceGlassoBICshockSelectsimulateBlockDiagNetworkthresholdAbsSPath

Dependencies:capusheclicpp11GGMselectglassogluegtoolsigraphlarslatticelifecyclemagrittrMASSMatrixmvtnormpkgconfigrlangvctrs