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) , Jackson et al. (2022) .


voi: a generic package to calculate the expected value of information

Comparison with other packages

voi is pure "command-based" R, with no web interface like SAVI.

  • The R commands in voi are clean and consistent: they all have the same basic interface, so you can switch between computational methods easily.

  • Outputs are all in "tidy" data frames for consistency, and to facilitate post-processing and plotting with modern tools such as ggplot2.

EVPPI computation

  • voi includes all the EVPPI computation methods that are in SAVI (GAM and Gaussian process regression), and includes the INLA method from BCEA.

  • Some other nonparametric regression methods ("earth", "bart") are included in voi, which may improve efficiency for multiparameter EVPPI computation problems with large numbers of parameters.

EVSI computation

In summary

  • voi will not benefit you if you want a web interface, or if you just need single-parameter EVPPI and are happy with SAVI/BCEA.

  • voi will benefit you if you want to calculate EVSI, or multiparameter EVPPI with large numbers of parameters.

Installation

Stable version

install.packages("voi")

Development version

remotes::install_github("chjackson/voi")

User guide

voi for Value of Information calculation: package overview

Source code

Github repository

R-CMD-check test-coverage DOI

Reference manual

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install.packages("voi")

1.0.3 by Christopher Jackson, 2 years ago


https://chjackson.github.io/voi/


Report a bug at https://github.com/chjackson/voi/issues


Browse source code at https://github.com/cran/voi


Authors: 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)


Documentation:   PDF Manual  


GPL-3 license


Imports mgcv, earth, mvtnorm, progress, dbarts, posterior, ggplot2, gridExtra, Matrix

Suggests testthat, BCEA, INLA, splancs, sf, knitr, rmarkdown, rjags, truncnorm, scales, dplyr, heemod


Imported by BCEA.


See at CRAN