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.
Use reformulas::findbars()/nobars()
instead of the now-deprecated
lme4::findbars()/nobars(), which were moved to
the reformulas package and emitted a one-off deprecation
warning that made test-cglmm.R order-dependent and flaky on
R-devel. This was the cause of the CRAN archival on 2026-08-22.
Fix autoplot() legends being shown in the wrong
order (colour before linetype/shape) when both ranef_plot
and a grouping variable are plotted together, caused by a ggplot2 4.0
change to default guide ordering.
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.
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.
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.