Function reference
-
amp_acro()
- Used to specify a cosinor component in the model formula.
-
autoplot(<cglmm>)
- Plot a cosinor model
-
cosinor_mixed
- cosinor_mixed dataset for cosinor modelling 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
-
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 modelling examples.