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Expected Value of Information
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.
- Version1.0.3
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release09/16/2024
Documentation
Team
Christopher Jackson
Gianluca Baio
Show author detailsRolesContributorAndrew Raim
Show author detailsRolesContributorAnna Heath
Mark Strong
Show author detailsRolesContributorKofi Placid Adragni
Show author detailsRolesContributor
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