Package index • GLMMcosinor

All functions

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.