Function reference
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voivoi-package - Methods to calculate the Expected Value of Information
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evpi() - Calculate the expected value of perfect information from a decision model
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evppi() - Calculate the expected value of partial perfect information from a decision-analytic model
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evppi_mc() - Traditional two-level Monte Carlo estimator of EVPPI.
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evppivar() - Calculate the expected value of partial perfect information for an estimation problem
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plot(<evppi>) - Plot EVPPI estimates
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evsi() - Calculate the expected value of sample information from a decision-analytic model
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evsivar() - Calculate the expected value of sample information for an estimation problem
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enbs() - Expected net benefit of sampling
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enbs_opt() - Determine the optimum sample size in an analysis of the expected net benefit of sampling
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pop_voi() - Population expected value of information
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import_heemod_outputs()import_heemod_inputs() - Import results of probabilistic analysis from heemod
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all_interactions() - Generate a string with all interactions of a certain degree, to be used in a GAM formula
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check_regression() - Check the fit of a regression model used to estimate EVPPI or EVSI
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chemo_ceachemo_nbchemo_parschemo_cea_501chemo_constantschemo_evsi_orchemo_pars_fn()chemo_model_nb()chemo_model_cea()chemo_model_lor_nb()chemo_model_lor_cea() - Chemotherapy cost-effectiveness model