Generate a tidy table of incremental cost-effectiveness ratios (ICERs) given output from
icer() and format for pretty printing with
icer(x, prob = 0.95, k = 50000, labels = NULL, ...) # S3 method for icer format( x, digits_qalys = 2, digits_costs = 0, pivot_from = "strategy", drop_grp = TRUE, pretty_names = TRUE, ... )
An object of class
A numeric scalar in the interval
Willingness to pay per quality-adjusted life-year.
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
Further arguments passed to and from methods. Currently unused.
Number of digits to use to report QALYs.
Number of digits to use to report costs.
Character vector denoting a column or columns used to
"widen" the data. Should either be
icer() returns an object of class
icer that is a tidy
data.table with the following columns:
The treatment strategy.
The outcome metric.
The point estimate computed as the average across the PSA samples.
The lower limit of the confidence interval.
The upper limit of the confidence interval.
format.icer() formats the table according to the arguments passed.
icer() will report negative ICERs; however,
correctly note whether a treatment strategy is dominated by or dominates the