Plotting the posterior linear predictor for R or ascertainment rates

Plots credible intervals for the observed data under the posterior predictive distribution, and for a specific observation type. The user can control the levels of the intervals and the plotted group(s). This is a generic function.

# S3 method for epimodel
posterior_sample_size(object)

# S3 method for epimodel
all_obs_types(object)

plot_linpred(object, ...)

# S3 method for epimodel
plot_linpred(
  object,
  type = NULL,
  groups = NULL,
  dates = NULL,
  date_breaks = "2 weeks",
  date_format = "%Y-%m-%d",
  levels = c(30, 60, 90),
  ...
)

Arguments

object	A fitted model object returned by epim. See epimodel-objects.
...	Additional arguments for posterior_predict.epimodel. Examples include newdata, which allows predictions or counterfactuals.
type	the name of the observations to plot. This should match one of the names of the obs argument to epim.
groups	Either NULL or a character vector specifying the groups to plot for. Default is NULL, which plots all modeled groups.
dates	A length 2 vector of Date objects. This defines the start and end dates of the date-range to be plotted. Must be coercible to Date if not NA. If an element of the vector is NA then the default lower/upper limit is used. See examples.
date_breaks	A string giving the distance between date tick labels. Default is "2 weeks". This is passed as the date_breaks argument to scale_x_date. Please see here for details.
date_format	This function attempts to coerce the dates argument to a vector of Date objects. date_format is passed as the format argument to as.Date. Default is "%Y-%m-%d".
levels	A numeric vector defining the levels of the plotted credible intervals.

Value

A ggplot object which can be further modified.