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CircularRegression 0.5.1

• Add the main methodological reference to DESCRIPTION in CRAN auto-linking format.
• Document return values for exported S3-method help pages.
• Replace commented code in the multiplebison examples with executable code.

CircularRegression 0.5.0

• Add circular_regression() as the main fixed-effect modeling interface.
• Add angular_two_step() as an explicit consensus-then-homogeneous workflow.
• Add S3 methods for coefficients, fitted values, residuals, predictions, summaries, plots, log-likelihoods and information criteria.
• Improve consensus numerical stability for large Bessel-function arguments.
• Add validation for finite angles, non-negative modifiers, weights, controls and initial values.
• Align logLik.consensus(), AIC.consensus() and BIC.consensus() with the full von Mises log-likelihood by including the normalizing constant. This changes absolute consensus likelihood and information-criterion values but does not change the fitted estimates.
• Add summary.angular_re() and print.summary.angular_re().
• Preserve model-frame na.action information in angular() objects.
• Replace the draft overview vignette with two reproducible HTML vignettes.
• Add pkgdown configuration and a workflow diagnostics article.
• Add a package-data workflow vignette for R Journal reviewer support.
• Add a minimal GitHub Actions R CMD check workflow.
• Clarify random-effects and special-wrapper documentation.
• Clarify documented provenance for noshiro and the remaining provenance limitations for multiplebison.
• Add a related scientific reference for the multiplebison study context.
• Expand tests for simulation recovery, predictions, NA handling, weights, modulo invariance and small-sample fits.

CircularRegression 0.4.0

• See CHANGELOG_0.4.0.md in the development repository for development notes. That file is not included in the CRAN build.

CircularRegression 0.1.1

• Improve stability of angular and consensus estimators with QR-based updates and better handling of reference-only models.
• Implement observation weights in consensus() and remove the deprecated model argument across the API.
• Make angular_re() usable without workarounds, add Hessian conditioning checks, and provide more robust predictions.
• Refresh documentation and vignette examples, and add an automated test suite covering key model features.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.