Package: stapler 0.8.0

stapler: Simultaneous Truth and Performance Level Estimation

An implementation of Simultaneous Truth and Performance Level Estimation (STAPLE) <doi:10.1109/TMI.2004.828354>. 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.

Authors:John Muschelli [aut, cre]

stapler_0.8.0.tar.gz
stapler_0.8.0.zip(r-4.7)stapler_0.8.0.zip(r-4.6)stapler_0.8.0.zip(r-4.5)
stapler_0.8.0.tgz(r-4.6-any)stapler_0.8.0.tgz(r-4.5-any)
stapler_0.8.0.tar.gz(r-4.7-any)stapler_0.8.0.tar.gz(r-4.6-any)
stapler_0.8.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
stapler/json (API)
NEWS

# Install 'stapler' in R:
install.packages('stapler', repos = c('https://muschellij2.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/muschellij2/stapler/issues

On CRAN:

Conda:

3.70 score 1 stars 10 scripts 189 downloads 6 exports 3 dependencies

Last updated from:b5918581de. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK136
source / vignettesOK342
linux-release-x86_64OK118
macos-release-arm64OK118
macos-oldrel-arm64OK84
windows-develOK83
windows-releaseOK85
windows-oldrelOK72
wasm-releaseOK100

Exports:staplestaple_bin_imgstaple_bin_matstaple_example_datastaple_multi_imgstaple_multi_mat

Dependencies:matrixStatsRcppRNifti

STAPLE Example

Rendered fromstaple_example.Rmdusingknitr::rmarkdownon May 28 2026.

Last update: 2017-11-27
Started: 2017-11-27

Readme and manuals

Help Manual

Help pageTopics
Generic STAPLE Algorithmstaple staple.array staple.character staple.default staple.list
Run STAPLE on a set of nifti imagesstaple_bin_img staple_multi_img
STAPLE on binary matrixstaple_bin_mat
STAPLE Example Datastaple_example_data
STAPLE on Multi-class matrixstaple_multi_mat