Package stapler details

  Package Description
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.

Maintainer: John Muschelli < muschellij2 at gmail.com >

Documentation

 
  Citation
From within R, enter citation('stapler')

 
  Issues

If you have any problems with this package you can open a new issue or check the already existing ones here.

 
  Versions(Pending - no previous version)
 
  Installation
To install this package, start R and enter:

source("https://neuroconductor.org/neurocLite.R")

# Default Install
neuro_install('stapler')

# from GitHub
neuro_install('stapler', release = "stable", release_repo = "github")
neuro_install('stapler', release = "current", release_repo = "github")

More detailed installation instructions can be found here.

 
  Details

Initially submitted on October 2 2018 2:40PM
Last updated on March 31 2021 10:00AM
Package type standard
Source GitHub https://github.com/muschellij2/stapler GitHub
Neuroconductor GitHub https://github.com/neuroconductor/stapler GitHub
ImportsmatrixStats, RNifti
Suggestsknitr, rmarkdown, covr, testthat, spelling