All functions

evpi.remote()

Calculate the expected value of perfect information from a decision model

evppi.remote()

Calculate the expected value of partial perfect information from a decision model

evppivar.remote()

Calculate the expected value of partial perfect information for an estimation problem. This computes the expected reduction in variance in some quantity of interest with perfect information about a parameter or parameters of interest.

evppi_mc.remote()

Traditional two-level Monte Carlo estimator of EVPPI.

evsi.remote()

Calculate the expected value of sample information from a decision-analytic model

evsivar.remote()

Calculate the expected value of sample information for an estimation problem. This computes the expected reduction in variance in some quantity of interest from a study of a certain design that informs the parameters of interest.