check_model_fn

<p>Check that a decision-analytic model function is of the appropriate form.  Detect if it returns net benefit or CEA format
note check_outputs adds a class</p>

internal

Methods to calculate the expected value of information from a decision-analytic model.  This includes the expected value of perfect information (EVPI), partial perfect information (EVPPI) and sample information (EVSI), and the expected net benefit of sampling (ENBS).  A range of alternative computational methods are provided under the same user interface.  See Heath et al. (2024) <doi:10.1201/9781003156109>, Jackson et al. (2022) <doi:10.1146/annurev-statistics-040120-010730>.

Christopher Jackson

Expected Value of Information

Anna Heath

Gianluca Baio

Mark Strong

Kofi Placid Adragni

Andrew Raim

check_model_fn function

Check that a decision-analytic model function is of the appropriate form.  Detect if it returns net benefit or CEA format
note check_outputs adds a class — check_model_fn

Check that a decision-analytic model function is of the appropriate form.  Detect if it returns net benefit or CEA format
note check_outputs adds a class

check_model_fn: Check that a decision-analytic model function is of the appropriate form. Detect if it returns net benefit or CEA format note check_outputs adds a class

Description

Usage

Arguments

Value