Simultaneous Truth and Performance Level Estimation

An implementation of Simultaneous Truth and Performance Level Estimation (STAPLE) . This method is used when there are multiple raters for an object, typically an image, and this method fuses these ratings into one rating. It uses an expectation-maximization method to estimate this rating and the individual specificity/sensitivity for each rater.

The goal of stapler is to provide an implementation of Simultaneous Truth and Performance Level Estimation (STAPLE), where there are multiple raters for an object.

Installation

You can install stapler from GitHub with:

# install.packages("remotes")
remotes::install_github("muschellij2/stapler")