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.


Travis buildstatus AppVeyor BuildStatus Coveragestatus

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")

News

stapler 0.6.6

  • Added RNGversion for sampling. Will update in future.

stapler 0.6.5

  • Added checks for dimensions.

stapler 0.6.3

  • Fixed DESCRIPTION file for CRAN.

stapler 0.6.2

  • First Submission to CRAN

  • staple function now main function to be used

  • Added a NEWS.md file to track changes to the package.

Reference manual

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install.packages("stapler")

0.6.6 by John Muschelli, 3 months ago


https://github.com/muschellij2/stapler


Report a bug at https://github.com/muschellij2/stapler/issues


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


Authors: John Muschelli [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports matrixStats, RNifti

Suggests knitr, rmarkdown, covr, testthat, spelling


See at CRAN