evpi: Compute Expected Value of Perfect Information (EVPI)
In giulianonetto/bayesdca: Bayesian Decision Curve Analysis
evpi R Documentation
Compute Expected Value of Perfect Information (EVPI)
Description
Compute Expected Value of Perfect Information (EVPI)
Usage
evpi(thresholds, ...)
Arguments
...
matrices of dimension n_draws * n_thresholds
containing posterior net benefit
obj
BayesDCAList or BayesDCASurv object
giulianonetto/bayesdca documentation built on Aug. 31, 2023, 11:07 a.m.
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| evpi | R Documentation |
Compute Expected Value of Perfect Information (EVPI)
Description
Compute Expected Value of Perfect Information (EVPI)
Usage
evpi(thresholds, ...)
Arguments
... |
matrices of dimension n_draws * n_thresholds containing posterior net benefit |
obj |
BayesDCAList or BayesDCASurv 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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