plot_ceaf: Plot cost-effectiveness acceptability frontier
In InnovationValueInitiative/hesim: Health Economic Simulation Modeling and Decision Analysis
plot_ceaf R Documentation
Plot cost-effectiveness acceptability frontier
Description
Plot a cost-effectiveness acceptability frontier (CEAF) from the output of
cea using ggplot2::ggplot. The CEAF plots the probability
that the optimal treatment strategy (i.e., the strategy with the highest
expected net monetary benefit) is cost-effective.
Usage
plot_ceaf(x, labels = NULL)
Arguments
x
A cea object produced by cea.
labels
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.
Details
See the cea() documentation for an example. If there are multiple subgroups,
then a faceted plot is produced with one plot for each subgroup.
Value
A ggplot object.
InnovationValueInitiative/hesim documentation built on Sept. 26, 2024, 4:08 a.m.
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| plot_ceaf | R Documentation |
Plot cost-effectiveness acceptability frontier
Description
Plot a cost-effectiveness acceptability frontier (CEAF) from the output of
cea using ggplot2::ggplot. The CEAF plots the probability
that the optimal treatment strategy (i.e., the strategy with the highest
expected net monetary benefit) is cost-effective.
Usage
plot_ceaf(x, labels = NULL)
Arguments
x |
A |
labels |
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 |
Details
See the cea() documentation for an example. If there are multiple subgroups,
then a faceted plot is produced with one plot for each subgroup.
Value
A ggplot object.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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