Plot Results of a Markov Model

Various plots for Markov models.

# S3 method for run_model
plot(
  x,
  type = c("counts", "ce", "values"),
  panels = c("by_strategy", "by_state", "by_value"),
  values = NULL,
  strategy = NULL,
  states = NULL,
  free_y = FALSE,
  bw = FALSE,
  ...
)

Arguments

x	Result from run_model().
type	Type of plot, see details.
panels	Should plots be faceted by model, by value or by state?
values	Names of values to be plotted. These can be any of the costs or effects defined in states.
strategy	Name or position of model(s) of interest.
states	Names of states to be included in the plot.
free_y	Should y limits be free between panels?
bw	Black & white plot for publications?
...	Additional arguments passed to plot. type = "counts" represents state memberships (corrected) by cycle, type = "ce" plots models on the cost-efficiency plane with the efficiency frontier, and type = "values" state values per cycle. When states is specified, the states will be turned into a factor with the ordering given in the variable, so that plotting order can be controlled.

Value

A ggplot2 object.

Examples

## These examples require \code{res_mod} from the hip replacement model discussed in
## `vignette("non-homogeneous", package = "heemod")`.

if (FALSE) {
  plot(res_mod)

  plot(res_mod, model = "all")
  plot(res_mod, model = "all", panels = "by_state")

  plot(res_mod, model = "all", include_states = c("RevisionTHR", "SuccessR"))
  plot(res_mod, model = "all", panels = "by_state", include_states = c("RevisionTHR", "SuccessR"))
 
  plot(res_mod, model = 2, panel = "by_state", include_states = c("RevisionTHR", "SuccessR"))
  
}