Expected Value of Information Based Sample Size Calculation

Computes sample sizes for trial-based cost-effectiveness analyses using the expected value of information. The implementation follows the method described by Bader et al. (2018) .


EBASS

Rpackage - Sample Size Calculation Method for Cost-Effectiveness Studies Based on EVPI

installation

To get the current released version from CRAN:

install.packages("EBASS")

To get the current development version from github. Note that the devtolls package must be installed beforehand:

devtools::install_github("aud33/EBASS")

Tutorial to use the package : check my-vignette.Rmd file in the vignettes folder

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("EBASS")

0.1.2 by Audrey Cordon, 2 months ago


https://github.com/BiostatUSMR/EBASS


Report a bug at https://github.com/BiostatUSMR/EBASS/issues


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


Authors: Audrey Cordon [aut, cre] , Clement Bader [ctb] , Morgane Donadel [ctb] , Aline Maillard [ctb] , Sebastien Cossin [ctb] , Mohamedou Sow [ctb] , Antoine Benard [ctb]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports methods

Suggests knitr, rmarkdown


See at CRAN