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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.
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.
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