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>.
| Version: | 1.0.3 |
| Depends: | R (≥ 3.5.0) |
| Imports: | mgcv,earth,mvtnorm,progress,dbarts,posterior,ggplot2,gridExtra,Matrix |
| Suggests: | testthat,BCEA, INLA,splancs,sf,knitr,rmarkdown,rjags,truncnorm,scales,dplyr,heemod |
| Published: | 2024-09-16 |
| DOI: | 10.32614/CRAN.package.voi |
| 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 at mrc-bsu.cam.ac.uk> |
| BugReports: | https://github.com/chjackson/voi/issues |
| License: | GPL-3 |
| URL: | https://chjackson.github.io/voi/ |
| NeedsCompilation: | no |
| Additional_repositories: | https://inla.r-inla-download.org/R/stable/ |
| Materials: | README,NEWS |
| CRAN checks: | voi results |