compute_EVPIs_: Compute the Expected Value of Perfect Information (EVPI)
In W-Mohammed/ShinyPSA: What the Package Does (One Line, Title Case)

compute_EVPIs_

R Documentation

Compute the Expected Value of Perfect Information (EVPI)

Compute the Expected Value of Perfect Information (EVPI)

compute_EVPIs_(.effs, .costs, .interventions = NULL, .Kmax = NULL, .wtp = NULL)

`.effs`	A tibble containing the `effects` from PSA. Number of `columns` is equal to the interventions while the number of `rows` is equal to the number of PSA simulations to be summarised.
`.costs`	A tibble containing the `costs` from PSA. Number of `columns` is equal to the interventions while the number of `rows` is equal to the number of PSA simulations to be summarised.
`.interventions`	A vector containing the names of all interventions. If not provided or less names than needed is provided, the function will generate generic names, for example `intervention 1`.
`.Kmax`	The maximum willingness-to-pay threshold to use in the analysis. This parameter is ignored if `wtp` is provided.
`.wtp`	A vector of numerical values declaring the willingness-to-pay (WTP) values to use in the analysis. If `NULL` (default) a range of WTP values (up to `.Kmax` will be used.