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.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: graphics, igraph, stats
Suggests: knitr, rmarkdown
Published: 2026-07-14
DOI: 10.32614/CRAN.package.circularNet (may not be active yet)
Author: Fatemeh Sarasir ORCID iD [aut, cre], Vilda Purutcuoglu ORCID iD [aut], Elif Dogan Dar ORCID iD [aut]
Maintainer: Fatemeh Sarasir <fsarasir at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: circularNet results

Documentation:

Reference manual: circularNet.html , circularNet.pdf
Vignettes: Introduction to circularNet (source, R code)

Downloads:

Package source: circularNet_0.1.0.tar.gz
Windows binaries: r-devel: circularNet_0.1.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): circularNet_0.1.0.tgz, r-oldrel (arm64): circularNet_0.1.0.tgz, r-release (x86_64): circularNet_0.1.0.tgz, r-oldrel (x86_64): circularNet_0.1.0.tgz

Linking:

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