eyeris: Flexible, Extensible, & Reproducible Processing of Pupil Data

Pupillometry offers a non-invasive window into the mind and has been used extensively as a psychophysiological readout of arousal signals linked with cognitive processes like attention, stress, and emotional states (see Clewett et al., 2020 <doi:10.1038/s41467-020-17851-9>; Kret & Sjak-Shie, 2018 <doi:10.3758/s13428-018-1075-y>; Strauch, 2024 <doi:10.1016/j.tins.2024.06.002>). Yet, despite decades of pupillometry research, many established packages and workflows to date unfortunately lack design patterns based on Findability, Accessibility, Interoperability, and Reusability (FAIR) principles (see Wilkinson et al., 2016 <doi:10.1038/sdata.2016.18> for more information). 'eyeris', on the other hand, follows a design philosophy that provides users with an intuitive, modular, performant, and extensible pupillometry data preprocessing framework out-of-the-box. 'eyeris' introduces a Brain Imaging Data Structure (BIDS)-like organization for derivative (i.e., preprocessed) pupillometry data as well as an intuitive workflow for inspecting preprocessed pupil epochs using interactive output report files (Esteban et al., 2019 <doi:10.1038/s41592-018-0235-4>; Gorgolewski et al., 2016 <doi:10.1038/sdata.2016.44>).

Version:	1.0.0
Depends:	R (≥ 4.1)
Imports:	eyelinker, dplyr, gsignal, purrr, zoo, cli, rlang, stringr, utils, stats, graphics, grDevices, tidyr, progress, data.table, withr
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2025-03-31
DOI:	10.32614/CRAN.package.eyeris
Author:	Shawn Schwartz [aut, cre, cph]
Maintainer:	Shawn Schwartz <stschwartz at stanford.edu>
BugReports:	https://github.com/shawntz/eyeris/issues
License:	MIT + file LICENSE
URL:	https://shawnschwartz.com/eyeris/, https://github.com/shawntz/eyeris/
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	eyeris results

Documentation:

Reference manual:	eyeris.pdf
Vignettes:	Anatomy of an eyeris Object (source, R code) Complete Pupillometry Pipeline Walkthrough (source, R code) Building Your Own Custom Pipeline Extensions (source, R code) Extracting Data Epochs and Exporting Pupil Data (source, R code) QC with Interactive Reports (source, R code)

Downloads:

Package source:	eyeris_1.0.0.tar.gz
Windows binaries:	r-devel: eyeris_1.0.0.zip, r-release: eyeris_1.0.0.zip, r-oldrel: eyeris_1.0.0.zip
macOS binaries:	r-devel (arm64): eyeris_1.0.0.tgz, r-release (arm64): eyeris_1.0.0.tgz, r-oldrel (arm64): eyeris_1.0.0.tgz, r-devel (x86_64): eyeris_1.0.0.tgz, r-release (x86_64): eyeris_1.0.0.tgz, r-oldrel (x86_64): eyeris_1.0.0.tgz

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