CircularRegression: Circular Regression Models

Implements regression models for circular response data, including homogeneous angular regression, consensus angular regression, a two-step workflow, selected special-case model wrappers, and a random-intercept extension for clustered circular outcomes. The main methodology follows Rivest et al. (2016) "A General Angular Regression Model for the Analysis of Data on Animal Movement in Ecology" <doi:10.1111/rssc.12124>.

Version: 0.5.1
Depends: R (≥ 3.5.0)
Imports: circular, graphics, stats, utils
Suggests: ggplot2, gridExtra, knitr, pkgdown, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-06-10
DOI: 10.32614/CRAN.package.CircularRegression (may not be active yet)
Author: Aurelien Nicosia [aut, cre]
Maintainer: Aurelien Nicosia <aurelien.nicosia at mat.ulaval.ca>
BugReports: https://github.com/AurelienNicosiaULaval/CircularRegression/issues
License: GPL-3
URL: https://github.com/AurelienNicosiaULaval/CircularRegression
NeedsCompilation: no
Language: en-US
Citation: CircularRegression citation info
Materials: README, NEWS
CRAN checks: CircularRegression results

Documentation:

Reference manual: CircularRegression.html , CircularRegression.pdf
Vignettes: Angular Regression Workflow (source, R code)
Applied Example with Bison Movement Data (source, R code)
Introduction to Circular Regression (source, R code)
Model Workflow and Diagnostics (source, R code)

Downloads:

Package source: CircularRegression_0.5.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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