stapler

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

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.
install.packages("stapler")

0.7.1 by John Muschelli, a year 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

R links

R homepage

Download R

Mailing lists

R documentation

R manuals

R FAQs

The R Journal

CRAN links

CRAN homepage

CRAN repository policy

Submit a package

METACRAN stuff

About METACRAN

At github

Report a bug