Plot a cost-effectiveness curve from either the output of cea() or
cea_pw() using ggplot2::ggplot. The former compares all treatment strategies
simultaneously and uses the probabilistic sensitivity analysis (PSA) to compute
the probability that each strategy is the most cost-effective at a given
willingness to pay value, while the latter uses the PSA to compute the probability
that each treatment is cost-effective relative to a comparator.
plot_ceac(x, ...)
# S3 method for class 'cea_pw'
plot_ceac(x, labels = NULL, ...)
# S3 method for class 'cea'
plot_ceac(x, labels = NULL, ...)An object of the appropriate class.
Further arguments passed to and from methods. Currently unused.
A list of named vectors containing the values and labels of
variables. The elements of each vector are the values of a variable and the
names are the labels. The names of the list are the names of the variables.
See the output returned by get_labels() for an example.
See the cea() documentation for an example. If there are multiple subgroups,
then a faceted plot is produced with one plot for each subgroup.