A common interface for several methods to calculate the

Expected Value of (Partial) Perfect Information and the

Expected Value of Sample Information

A project of the ConVOI Group: the Collaborative Network for Value of Information

`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.

`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.

`voi`

is the first package to implement a range of EVSI computation methods: nonparametric regression, moment matching and importance sampling. A simple model for the expected net benefit of sampling is also included.

`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.

Stable version

`install.packages("voi")`

Development version

`remotes::install_github("chjackson/voi")`

`voi`

for Value of Information calculation: package overview