Package index

Package overview

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