Package: stapler 0.7.2

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_0.7.2.tar.gz
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stapler.pdf |stapler.html
stapler/json (API)
NEWS

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

Peer review:

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

On CRAN:

6 exports 1 stars 0.73 score 3 dependencies 8 scripts 151 downloads

Last updated 3 years agofrom:6f3f69437b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-winOKAug 20 2024
R-4.5-linuxOKAug 20 2024
R-4.4-winOKAug 20 2024
R-4.4-macOKAug 20 2024
R-4.3-winOKAug 20 2024
R-4.3-macOKAug 20 2024

Exports:staplestaple_bin_imgstaple_bin_matstaple_example_datastaple_multi_imgstaple_multi_mat

Dependencies:matrixStatsRcppRNifti

STAPLE Example

Rendered fromstaple_example.Rmdusingknitr::rmarkdownon Aug 20 2024.

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