Summarises the priors used for each regression in a fitted model: the one for reproduction numbers, and one for each observation type. The priors shown are those actually used in fitting, i.e. after any autoscaling has been applied, which can differ from the priors as specified. See priors.

# S3 method for class 'epimodel'
prior_summary(object, digits = 3, ...)

Arguments

object

An epimodel object, returned by epim.

digits

Number of digits used for rounding.

...

Not used.

Value

A named list with one element per regression in the model: "R" for the reproduction number regression, and one named after each observation type. Each element holds that regression's prior information and has class "prior_summary_reg.epimodel". The list itself has class "prior_summary.epimodel"; both have print methods, so the result is generally printed rather than used programmatically.

See also

priors for specifying priors, and epim for fitting the model they are used in.