Plot a cost-effectiveness curve from either the output of
ggplot2. 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 cea_pw plot_ceac(x, labels = NULL, ...) # S3 method for 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
cea() documentation for an example. If there are multiple subgroups,
then a faceted plot is produced with one plot for each subgroup.