Function reference

voi
voipackage
 Methods to calculate 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 decisionanalytic model

evppi_mc()
 Traditional twolevel 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 decisionanalytic 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

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

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 costeffectiveness model