Changes in version 0.2.1.9000                      

  - Refactor polar_plot() and autoplot() to avoid functions that are
    defined within other functions. Separate out into separate scripts
    where necessary.

  - Add example of using likelihood-ratio test to assess differential
    rhythmicity.

  - Use the mean of continuous variables as the reference level, and the
    first level for factors when creating newdata within autoplot().

  - Fix test-coverage GHA.

                 Changes in version 0.2.1 (2024-10-31)                  

  - Fixed issues #14 and #15 relating to handling model formulas without
    amp_acro() components.

  - Update import from glmmTMB which previously failed with released
    version.

  - Perform the glmmTMB's .onLoad() when GLMMcosinor is loaded by
    including an @importFrom glmmTMB in pkg documentation.

  - Plot labels now correspond to the name of the group(s), and they are
    more concise.

  - Component labels have been removed from polar_plot() when there is
    only one component in the model.

                 Changes in version 0.2.0 (2024-01-11)                  

  - Successful peer review from rOpenSci!

  - Create a sigma() function which gets the dispersion parameter from a
    given cglmm model (by calling glmmTMB::sigma()).

  - Improve introduction to cosinor modeling in the getting-started
    vignette.

  - Fix small typos in vignettes/docs and make plot legend title
    consistent across autoplot() and polar_plot().

  - Rename functions to be snake_case and all S3 class names to
    camelCase.

                        Changes in version 0.1.0                        

  - First development version of {GLMMcosinor} for submission to
    rOpenSci.

  - Includes functions for fitting a cosinor model, similarly to the
    {cosinor} R package but using the {glmmTMB} modeling framework to
    allow more flexibility in terms of fitting generalized linear mixed
    cosinor models.