evpi: Expected Value of Perfect Information (EVPI)

In feralaes/dampack: Package with useful decision-analytic modeling tools

Expected Value of Perfect Information (EVPI)

Description

evpi is used to compute the expected value of perfect information (EVPI) from a probabilistic sensitivity analysis (PSA) dataset.

Usage

evpi(v.wtp, m.e, m.c, pop = 1)

Arguments

v.wtp	Numeric vector with willingness-to-pay (WTP) thresholds
m.e	Matrix of effectiveness. Each column corresponds to a vector of effectiveness.
m.c	Matrix of costs. Each column corresponds to a vector of costs.
pop	A scalar that corresponds to the total population

Value

evpi A data frame with the EVPI at each WTP threshold.

Details

evpi calculates the value of eliminating all the uncertainty of a cost-effectiveness analysis at each WTP threshold.

feralaes/dampack documentation built on Sept. 8, 2024, 11:31 a.m.