Function reference • voi

Package overview

voi voi-package: Methods to calculate the Expected Value of Information

Calculating the expected value of information

evpi(): Calculate the expected value of perfect information from a decision model

evppi(): Calculate the expected value of partial perfect information from a decision-analytic model

evppi_mc(): Traditional two-level Monte Carlo estimator of EVPPI.

evppivar(): Calculate the expected value of partial perfect information for an estimation problem

plot(<evppi>): Plot EVPPI estimates

evsi(): Calculate the expected value of sample information from a decision-analytic model

evsivar(): Calculate the expected value of sample information for an estimation problem

enbs(): Expected net benefit of sampling

enbs_opt(): Determine the optimum sample size in an analysis of the expected net benefit of sampling

pop_voi(): Population expected value of information

Utilities

import_heemod_outputs() import_heemod_inputs(): Import results of probabilistic analysis from heemod

all_interactions(): Generate a string with all interactions of a certain degree, to be used in a GAM formula

check_regression(): Check the fit of a regression model used to estimate EVPPI or EVSI

Example decision models

chemo_cea chemo_nb chemo_pars chemo_cea_501 chemo_constants chemo_evsi_or chemo_pars_fn() chemo_model_nb() chemo_model_cea() chemo_model_lor_nb() chemo_model_lor_cea(): Chemotherapy cost-effectiveness model