Package: covdepGE 1.0.1
Jacob Helwig
covdepGE: Covariate Dependent Graph Estimation
A covariate-dependent approach to Gaussian graphical modeling as described in Dasgupta et al. (2022). Employs a novel weighted pseudo-likelihood approach to model the conditional dependence structure of data as a continuous function of an extraneous covariate. The main function, covdepGE::covdepGE(), estimates a graphical representation of the conditional dependence structure via a block mean-field variational approximation, while several auxiliary functions (inclusionCurve(), matViz(), and plot.covdepGE()) are included for visualizing the resulting estimates.
Authors:
covdepGE_1.0.1.tar.gz
covdepGE_1.0.1.tar.gz(r-4.5-noble)covdepGE_1.0.1.tar.gz(r-4.4-noble)
covdepGE_1.0.1.tgz(r-4.4-emscripten)covdepGE_1.0.1.tgz(r-4.3-emscripten)
covdepGE.pdf |covdepGE.html✨
covdepGE/json (API)
| # Install 'covdepGE' in R: |
| install.packages('covdepGE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jacobhelwig/covdepge/issues
Last updated 2 years agofrom:d7aaef416c. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 02 2024 |
| R-4.5-linux-x86_64 | NOTE | Dec 02 2024 |
Exports:covdepGEgenerateDatainclusionCurvematViz
Dependencies:clicodetoolscolorspacedoParallelfansifarverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatex2explatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangscalesshapestringistringrsurvivaltibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| covdepGE: Covariate Dependent Graph Estimation | covdepGE-package _PACKAGE |
| Covariate Dependent Graph Estimation | covdepGE covdepGE-method |
| Generate Covariate-Dependent Data | generateData |
| Plot PIP as a Function of Index | inclusionCurve |
| Visualize a matrix | matViz |
| Plot the Graphs Estimated by 'covdepGE' | plot.covdepGE |