# Expected Value of Information

## Documentation for package ‘voi’ version 1.0.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

voi-package | Methods to calculate the Expected Value of Information
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
chemo_cea | Chemotherapy cost-effectiveness model
chemo_cea_501 | Chemotherapy cost-effectiveness model
chemo_constants | Chemotherapy cost-effectiveness model
chemo_evsi_or | Chemotherapy cost-effectiveness model
chemo_model | Chemotherapy cost-effectiveness model
chemo_model_cea | Chemotherapy cost-effectiveness model
chemo_model_lor_cea | Chemotherapy cost-effectiveness model
chemo_model_lor_nb | Chemotherapy cost-effectiveness model
chemo_model_nb | Chemotherapy cost-effectiveness model
chemo_nb | Chemotherapy cost-effectiveness model
chemo_pars | Chemotherapy cost-effectiveness model
chemo_pars_fn | Chemotherapy cost-effectiveness model
enbs | Expected net benefit of sampling
enbs_opt | Determine the optimum sample size in an analysis of the expected net benefit of sampling
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
evppivar | Calculate the expected value of partial perfect information for an estimation problem
evppi_mc | Traditional two-level Monte Carlo estimator of EVPPI.
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
import_heemod | Import results of probabilistic analysis from heemod
import_heemod_inputs | Import results of probabilistic analysis from heemod
import_heemod_outputs | Import results of probabilistic analysis from heemod
plot.evppi | Plot EVPPI estimates
pop_voi | Population expected value of information