Circular Regression Models
Overview
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.
- Add the main methodological reference to
DESCRIPTIONin CRAN auto-linking format. - Document return values for exported S3-method help pages.
- Replace commented code in the
multiplebisonexamples with executable code.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK7 OK2026-06-11
Documentation
- Help pages
- 28 (1 internal)includes a package overview page
- Examples that run
- 100%8 run in a plain check
- Exported functions with examples
- 40%
- Documented parameters
- 99%
- Return-value docs
- 100%
- Help pages citing references
- 46%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Releases over time
5 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/aureliennicosiaulaval/circularregression on 2026-10-11.
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- Codexfirst seen 2025-06-30Pull request it wrote: opened by a project member
Dependencies
Installing CircularRegression adds 2 packages (2 with compiled code, 1.2 MB of source tarballs). Heaviest: mvtnorm 1.0 MB, circular 180 KB.
Code & Tests
Datasets
People & History
- 0.5.1Latest2026-06-10 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-10
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 371 KB / 4 files
- Download size
- 540 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("CircularRegression")The package provides a citation file, so citation() returns the authors' own entry.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.