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 |