fit_cough_model: Fit mean-variance regression model to cough
In hyfe-ai/hyfer: R Utilities for Interacting with Hyfe Data

Fit a regression model of the relationship between mean cough rate and its variance, in which each data point is the mean-variance from a user with sufficient monitoring time.

1	fit_cough_model(ho, cutoff_hours = 50, cutoff_hourly = 30, toplot = TRUE)

`ho`	A `hyfe` object, which is generated by `process_hyfe_data()`. See full details and examples in the package vignette.
`cutoff_hours`	Minimum number of qualifying hours a user must have to be included in the model.
`cutoff_hourly`	Minimum monitoring time within an hour for that hour to be included in the model.
`toplot`	If `TRUE`, a regression scatterplot plot will be displayed.

A list with several named elements: p is the regression F statistic; r2 is the adjusted R-squared value for the regression; n is the number of users included in the analysis (i.e., the sample size of the model); coefficients provide the coefficient estimates from the model (b1 and intercept); model provids the model object; data provide the data used to fit the model.