Package: circularNet 0.1.0
circularNet: Circular Graphical Model Estimation
Provides methods for estimating circular graphical models using maximum likelihood estimation (MLE) and circular mean squared error (CMSE) approaches. The package includes tools for model fitting, network construction, network evaluation, and visualization. The CMSE-based methodology is related to Dar (2023) <https://open.metu.edu.tr/handle/11511/102577>. The package supports both simulated circular data and real-world applications, including gene-expression network analysis.
Authors:
circularNet_0.1.0.tar.gz
circularNet_0.1.0.tar.gz(r-4.7-any)circularNet_0.1.0.tar.gz(r-4.6-any)
circularNet_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
circularNet/json (API)
| # Install 'circularNet' in R: |
| install.packages('circularNet', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f6c888302b. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 123 | ||
| source / vignettes | OK | 214 | ||
| linux-release-x86_64 | OK | 122 | ||
| wasm-release | OK | 122 |
Exports:build_networkCMSEevaluate_networkfit_circular_modellog_likelihoodmod_twopimodel_fit_cmseplot_networkresidual_fnc
Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangvctrs
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Build Adjacency Matrix | build_network |
| Circular Mean Squared Error | CMSE |
| Evaluate Estimated Network | evaluate_network |
| Fit Circular Graphical Model | fit_circular_model |
| Log-Likelihood for Circular Model | log_likelihood |
| Wrap Angles to (-pi, pi) | mod_twopi |
| Fit Circular Model Using CMSE | model_fit_cmse |
| Plot Estimated Network | plot_network |
| Compute Residuals | residual_fnc |
