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voi: 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>.
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Package details |
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| Author | Christopher Jackson [aut, cre], Anna Heath [aut], Gianluca Baio [ctb] (Author of code taken from the BCEA package), Mark Strong [ctb] (Author of code taken from the SAVI package), Kofi Placid Adragni [ctb] (Author of code taken from the ldr package), Andrew Raim [ctb] (Author of code taken from the ldr package) |
| Maintainer | Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk> |
| License | GPL-3 |
| Version | 1.0.3 |
| URL | https://chjackson.github.io/voi/ |
| Package repository | View on CRAN |
| Installation |
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