plot_evpi: Plot expected value of perfect information
In InnovationValueInitiative/hesim: Health Economic Simulation Modeling and Decision Analysis
plot_evpi R Documentation
Plot expected value of perfect information
Description
Plot the expected value of perfect information (EVPI) from the output of
cea() using ggplot2::ggplot. Intuitively, the EVPI provides an estimate of the
amount that a decision maker would be willing to pay to collect additional data
and completely eliminate uncertainty.
Usage
plot_evpi(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_evpi | R Documentation |
Plot expected value of perfect information
Description
Plot the expected value of perfect information (EVPI) from the output of
cea() using ggplot2::ggplot. Intuitively, the EVPI provides an estimate of the
amount that a decision maker would be willing to pay to collect additional data
and completely eliminate uncertainty.
Usage
plot_evpi(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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