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:
pawscore_1.0.3.tar.gz
pawscore_1.0.3.zip(r-4.7)pawscore_1.0.3.zip(r-4.6)pawscore_1.0.3.zip(r-4.5)
pawscore_1.0.3.tgz(r-4.6-any)pawscore_1.0.3.tgz(r-4.5-any)
pawscore_1.0.3.tar.gz(r-4.7-any)pawscore_1.0.3.tar.gz(r-4.6-any)
pawscore_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
pawscore/json (API)
| # Install 'pawscore' in R: |
| install.packages('pawscore', repos = c('https://crtwomey.r-universe.dev', 'https://cloud.r-project.org')) |
- jones2020.tracks - Jones et al. (2020) paw trajectory data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:9e1f474202. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 116 | ||
| source / vignettes | OK | 146 | ||
| linux-release-x86_64 | OK | 112 | ||
| macos-release-arm64 | OK | 112 | ||
| macos-oldrel-arm64 | OK | 90 | ||
| windows-devel | OK | 82 | ||
| windows-release | OK | 73 | ||
| windows-oldrel | OK | 70 | ||
| wasm-release | OK | 90 |
Exports:create_pain_modelcreate_strain_standarddefault_parametersdefault_standardsextract_featurespain_classpain_scoreset_parameters
Dependencies:brglm2enrichwithlatticeMASSMatrixnleqslvnnetnumDerivsignalstatmod
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Create a new pain model | create_pain_model |
| Create new strain standards | create_strain_standard |
| Default parameters for extracting paw features | default_parameters |
| Default strain-based standards for paw features | default_standards |
| Extract features for paw time series | extract_features |
| Jones et al. (2020) paw trajectory data | jones2020.tracks |
| Identify pain class based on pain score | pain_class |
| Scoring pain from paw features | pain_score |
| paws: Pain Assessment at Withdrawal Speeds | pawsscore |
| Convenience function for changing parameters | set_parameters |
