Package: pawscore 1.0.3

pawscore: Pain Assessment at Withdrawal Speeds (PAWS)

Automated pain scoring from paw withdrawal tracking data. Based on Jones et al. (2020) "A machine-vision approach for automated pain measurement at millisecond timescales" <doi:10.7554/eLife.57258>.

Authors:Colin Twomey [aut, cre], Jessica Jones [aut], William Foster [aut], Joshua Plotkin [aut], Ishmail Abdus-Saboor [aut]

pawscore_1.0.3.tar.gz
pawscore_1.0.3.zip(r-4.5)pawscore_1.0.3.zip(r-4.4)pawscore_1.0.3.zip(r-4.3)
pawscore_1.0.3.tgz(r-4.5-any)pawscore_1.0.3.tgz(r-4.4-any)pawscore_1.0.3.tgz(r-4.3-any)
pawscore_1.0.3.tar.gz(r-4.5-noble)pawscore_1.0.3.tar.gz(r-4.4-noble)
pawscore_1.0.3.tgz(r-4.4-emscripten)pawscore_1.0.3.tgz(r-4.3-emscripten)
pawscore.pdf |pawscore.html
pawscore/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 1 scripts 177 downloads 8 exports 8 dependencies

Last updated 2 years agofrom:9e1f474202. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-winOKMar 11 2025
R-4.5-macOKMar 11 2025
R-4.5-linuxOKMar 11 2025
R-4.4-winOKMar 11 2025
R-4.4-macOKMar 11 2025
R-4.4-linuxOKMar 11 2025
R-4.3-winOKMar 11 2025
R-4.3-macOKMar 11 2025

Exports:create_pain_modelcreate_strain_standarddefault_parametersdefault_standardsextract_featurespain_classpain_scoreset_parameters

Dependencies:brglm2enrichwithlatticeMASSMatrixnnetnumDerivsignal