compute_CEACs_: Compute Cost-Effectiveness Acceptability Curve (CEAC)
In W-Mohammed/ShinyPSA: What the Package Does (One Line, Title Case)

compute_CEACs_

R Documentation

Compute Cost-Effectiveness Acceptability Curve (CEAC)

Compute Cost-Effectiveness Acceptability Curve (CEAC)

compute_CEACs_(
  .nmb,
  .effs = NULL,
  .costs = NULL,
  .interventions = NULL,
  .Kmax = NULL,
  .wtp = NULL
)

`.nmb`	A list (with similar features to a 3D-array) containing the Net Monetary Benefits from each probabilistic sensitivity analysis (PSA) run for each intervention across a range of willingness-to-pay (WTP) values. The dimensions of this list are: `List:WTP, Tibble(Rows: PSA simulations, Cols: Interventions)`.
`.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.