voi: Expected Value of Information (original) (raw)
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:
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:
URL:
https://chjackson.github.io/voi/
NeedsCompilation:
no
Additional_repositories:
https://inla.r-inla-download.org/R/stable/
Materials:
CRAN checks: