Package: CircularRegression 0.5.0
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.
Authors:
CircularRegression_0.5.0.tar.gz
CircularRegression_0.5.0.zip(r-4.7)CircularRegression_0.5.0.zip(r-4.6)CircularRegression_0.5.0.zip(r-4.5)
CircularRegression_0.5.0.tgz(r-4.6-any)CircularRegression_0.5.0.tgz(r-4.5-any)
CircularRegression_0.5.0.tar.gz(r-4.7-any)CircularRegression_0.5.0.tar.gz(r-4.6-any)
CircularRegression_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CircularRegression/json (API)
NEWS
| # Install 'CircularRegression' in R: |
| install.packages('CircularRegression', repos = c('https://aureliennicosiaulaval.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/aureliennicosiaulaval/circularregression/issues
- bison - Bison movement data
- multiplebison - Two plains bison tracked by GPS
- noshiro - Noshiro earthquake direction data
- Sandhopper - Sandhopper Escape Orientation Data
Last updated from:864325dbba. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 143 | ||
| source / vignettes | OK | 183 | ||
| linux-release-x86_64 | OK | 144 | ||
| macos-release-arm64 | OK | 175 | ||
| macos-oldrel-arm64 | OK | 84 | ||
| windows-devel | OK | 104 | ||
| windows-release | OK | 91 | ||
| windows-oldrel | OK | 92 | ||
| wasm-release | OK | 94 |
Exports:angularangular_lrtestangular_reangular_two_stepautoregressivedatacircular_regressionconsensusdecentredPredictorModeljammalamadakaModelmeanDirectionModelpick_reference_angleplot_ranef.angular_represnellModelranef.angular_reselect_reference_angle
Angular Regression Workflow
Rendered fromangular-regression-workflow.Rmdusingknitr::rmarkdownon Jun 11 2026.Last update: 2026-05-30
Started: 2026-05-30
Applied Example with Bison Movement Data
Rendered frombison-applied-example.Rmdusingknitr::rmarkdownon Jun 11 2026.Last update: 2026-05-02
Started: 2026-05-02
Introduction to Circular Regression
Rendered fromintroduction-to-circular-regression.Rmdusingknitr::rmarkdownon Jun 11 2026.Last update: 2026-05-02
Started: 2026-05-02
Model Workflow and Diagnostics
Rendered frommodel-workflow-and-diagnostics.Rmdusingknitr::rmarkdownon Jun 11 2026.Last update: 2026-05-30
Started: 2026-05-30
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Angular Regression Model with Homogeneous von Mises Errors | angular |
| Likelihood-ratio test (T2) between two homogeneous angular models | angular_lrtest |
| Angular mixed-effects regression with von Mises random intercepts | angular_re |
| Two-step angular regression workflow (consensus then homogeneous) | angular_two_step |
| Create autoregressive dataset | autoregressivedata |
| Bison movement data | bison |
| Fit Circular Regression Models with a Common Interface | circular_regression |
| Consensus Angular Regression Model | consensus |
| Decentered Predictor Model Wrapper (two-step workflow) | decentredPredictorModel |
| Jammalamadaka-Sengupta Model Wrapper (two-step workflow) | jammalamadakaModel |
| Mean Direction Model Wrapper (two-step workflow) | meanDirectionModel |
| Two plains bison tracked by GPS (Prince Albert National Park, 2013) | multiplebison |
| Noshiro earthquake direction data | noshiro |
| Backward-compatible wrapper for reference-angle selection | pick_reference_angle |
| Plot random-intercept directions for an angular_re fit | plot_ranef.angular_re |
| Plot method for angular_re objects | plot.angular_re |
| Predict method for angular_re objects | predict.angular_re |
| Presnell Model Wrapper (two-step workflow) | presnellModel |
| Methods for Angular Regression Objects | coef.angular fitted.angular plot.angular predict.angular print.angular print.summary.angular residuals.angular summary.angular vcov.angular |
| Methods for Angular Random-Effects Fits | coef.angular_re fitted.angular_re print.angular_re print.summary.angular_re residuals.angular_re summary.angular_re vcov.angular_re |
| Methods for two-step angular regression objects | AIC.angular_two_step BIC.angular_two_step coef.angular_two_step fitted.angular_two_step logLik.angular_two_step plot.angular_two_step predict.angular_two_step print.angular_two_step print.summary.angular_two_step residuals.angular_two_step summary.angular_two_step |
| Methods for Circular Regression Objects | AIC.circular_regression BIC.circular_regression coef.circular_regression fitted.circular_regression logLik.circular_regression plot.circular_regression predict.circular_regression print.circular_regression print.summary.circular_regression residuals.circular_regression summary.circular_regression |
| Methods for Consensus Objects | AIC.consensus BIC.consensus coef.consensus fitted.consensus logLik.consensus plot.consensus predict.consensus print.consensus print.summary.consensus residuals.consensus summary.consensus vcov.consensus |
| Print method for 'pick_reference_angle' | print.pick_reference_angle |
| Extract estimated random intercepts from an angular mixed model | ranef.angular_re |
| Sandhopper Escape Orientation Data | Sandhopper |
| Select Reference Angle for Homogeneous Angular Model | select_reference_angle |
