R: Fit a Cosinor Model Using a Generalized Mixed Modeling Framework

# Fit a Cosinor Model Using a Generalized Mixed Modeling Framework

## Documentation for package ‘GLMMcosinor’ version 0.2.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

amp_acro | Used to specify a cosinor component in the model formula.
autoplot.cglmm | Plot a cosinor model
cglmm | Fit cosinor model with '{glmmTMB}'
cosinor_mixed | cosinor_mixed dataset for cosinor modeling examples.
fit_model_and_process | Fit the cosinor GLMM model using the output from 'update_formula_and_data()' and a new formula
polar_plot | Generates a polar plot with elliptical confidence intervals
polar_plot.cglmm | Generates a polar plot with elliptical confidence intervals
predict.cglmm | Predict from a cosinor model
print.cglmm | Print a brief summary of the 'cglmm' model.
print.cglmmSubTest | Print test of model
print.cglmmSummary | Print the summary of a cosinor model
print.cglmmTest | Print results of test of cosinor model
sigma.cglmm | Extract residual standard deviation or dispersion parameter
simulate_cosinor | Simulate data from a cosinor model
summary.cglmm | Summarize a cosinor model Given a time variable and optional covariates, generate inference a cosinor fit. Gives estimates, confidence intervals, and tests for the raw parameters, and for the mean, amplitude, and acrophase parameters. If the model includes covariates, the function returns the estimates of the mean, amplitude, and acrophase for the group with covariates equal to 1 and equal to 0. This may not be the desired result for continuous covariates.
test_cosinor_components | Test for differences in a cosinor model between components.
test_cosinor_levels | Test for differences in a cosinor model between levels of the grouping variable.
update_formula_and_data | Update data and formula for fitting cglmm model
vitamind | Vitamin D dataset for cosinor modeling examples.