Package: sglasso 1.2.6
sglasso: Lasso Method for RCON(V,E) Models
RCON(V, E) models are a kind of restriction of the Gaussian Graphical Models defined by a set of equality constraints on the entries of the concentration matrix. 'sglasso' package implements the structured graphical lasso (sglasso) estimator proposed in Abbruzzo et al. (2014) for the weighted l1-penalized RCON(V, E) model. Two cyclic coordinate algorithms are implemented to compute the sglasso estimator, i.e. a cyclic coordinate minimization (CCM) and a cyclic coordinate descent (CCD) algorithm.
Authors:
sglasso_1.2.6.tar.gz
sglasso_1.2.6.zip(r-4.5)sglasso_1.2.6.zip(r-4.4)sglasso_1.2.6.zip(r-4.3)
sglasso_1.2.6.tgz(r-4.4-x86_64)sglasso_1.2.6.tgz(r-4.4-arm64)sglasso_1.2.6.tgz(r-4.3-x86_64)sglasso_1.2.6.tgz(r-4.3-arm64)
sglasso_1.2.6.tar.gz(r-4.5-noble)sglasso_1.2.6.tar.gz(r-4.4-noble)
sglasso_1.2.6.tgz(r-4.4-emscripten)sglasso_1.2.6.tgz(r-4.3-emscripten)
sglasso.pdf |sglasso.html✨
sglasso/json (API)
| # Install 'sglasso' in R: |
| install.packages('sglasso', repos = c('https://luigiaugugliaro.r-universe.dev', 'https://cloud.r-project.org')) |
- neisseria - Neisseria Data Set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 12 months agofrom:c884bab60d. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 11 2024 |
| R-4.5-win-x86_64 | OK | Nov 11 2024 |
| R-4.5-linux-x86_64 | OK | Nov 11 2024 |
| R-4.4-win-x86_64 | OK | Nov 11 2024 |
| R-4.4-mac-x86_64 | OK | Nov 11 2024 |
| R-4.4-mac-aarch64 | OK | Nov 11 2024 |
| R-4.3-win-x86_64 | OK | Nov 11 2024 |
| R-4.3-mac-x86_64 | OK | Nov 11 2024 |
| R-4.3-mac-aarch64 | OK | Nov 11 2024 |
Exports:fglassofglasso_model2maskgplotgplot.fglassogplot.sglassoKhklcvloglikmake_actionmake_sglassomask2Temask2Tvplot.klcvplot.sglassoprint.klcvprint.sglassosetDiffsglassosglasso.fitsummary.sglassotheta2Khzero
Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Lasso Method for RCON(V, E) Models | sglasso-package |
| L1-penalized Factorial Graphical Lasso Model | fglasso |
| Plotting Sparse Graph | gplot |
| Plotting Sparse Factorial Dynamic Gaussian Graphical Model | gplot.fglasso |
| Plotting Sparse Graphs | gplot.sglasso |
| Extract Sparse Structured Precision Matrices | Kh |
| Cross-Validated Kullback-Leibler Divergence | klcv print.klcv |
| Extract Log-Likelihood | loglik |
| Neisseria Data Set | neisseria |
| Plot Method for Leave-One-Out Cross-Validated Kullback-Leibler Divergence | plot.klcv |
| Plot Method for the Weighted l1-Penalized RCON(V, E) Model | plot.sglasso |
| Lasso Method for the RCON(V, E) Models | print.sglasso sglasso |
| Summarizing sglasso Fits | summary.sglasso |
