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pawscore
View on CRAN: Click
here
Download and install pawscore package within the R console
Install from CRAN:
install.packages("pawscore")
Install from Github:
library("remotes")
install_github("cran/pawscore") Install by package version:
library("remotes")
install_version("pawscore", "1.0.3") Attach the package and use:
library("pawscore")
Maintained by
Colin Twomey
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-12
Latest Update: 2023-09-18
Description:
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" .
How to cite:
Colin Twomey (2023). pawscore: Pain Assessment at Withdrawal Speeds (PAWS). R package version 1.0.3, https://cran.r-project.org/web/packages/pawscore. Accessed 26 Jun. 2026.
Previous versions and publish date:
1.0.2 (2023-08-12 10:50)
Other packages that cited pawscore R package
View pawscore citation profile
Other R packages that pawscore depends,
imports, suggests or enhances
Complete documentation for pawscore
Functions, R codes and Examples using
the pawscore R package
Some associated functions: create_pain_model . create_strain_standard . default_parameters . default_standards . extract_features . jones2020.tracks . pain_class . pain_score . pawscore-package . pawsscore . set_parameters .
Some associated R codes: extract_features.R . features.R . parameters.R . paws.R . pawscore-package.R . score.R . standards.R . Full pawscore package functions and examples
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