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eyeris: Flexible, Extensible, & Reproducible Pupillometry Preprocessing

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 [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 lack design patterns based on Findability, Accessibility, Interoperability, and Reusability (FAIR) principles [see Wilkinson et al. (2016) <doi:10.1038/sdata.2016.18>]. 'eyeris' provides a modular, performant, and extensible preprocessing framework for pupillometry data with BIDS-like organization and interactive output reports [Esteban et al. (2019) <doi:10.1038/s41592-018-0235-4>; Gorgolewski et al. (2016) <doi:10.1038/sdata.2016.44>]. Development was supported, in part, by the Stanford Wu Tsai Human Performance Alliance, Stanford Ric Weiland Graduate Fellowship, Stanford Center for Mind, Brain, Computation and Technology, NIH National Institute on Aging Grants (R01-AG065255, R01-AG079345), NSF GRFP (DGE-2146755), McKnight Brain Research Foundation Clinical Translational Research Scholarship in Cognitive Aging and Age-Related Memory Loss, American Brain Foundation, and the American Academy of Neurology.

Version: 2.0.0
Depends: R (≥ 4.1)
Imports: eyelinker, dplyr, gsignal, purrr, zoo, cli, rlang, stringr, utils, stats, graphics, grDevices, tidyr, progress, data.table, withr, lifecycle, MASS, viridis, fields
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), devtools
Published: 2025-07-03
DOI: 10.32614/CRAN.package.eyeris
Author: Shawn Schwartz ORCID iD [aut, cre], Mingjian He [ctb], Haopei Yang [ctb], Alice Xue [ctb], Gustavo Santiago-Reyes [ctb]
Maintainer: Shawn Schwartz <shawn.t.schwartz at gmail.com>
BugReports: https://github.com/shawntz/eyeris/issues
License: MIT + file LICENSE
URL: https://shawnschwartz.com/eyeris/, https://github.com/shawntz/eyeris/
NeedsCompilation: no
Citation: eyeris citation info
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_2.0.0.tar.gz
Windows binaries: r-devel: eyeris_2.0.0.zip, r-release: eyeris_2.0.0.zip, r-oldrel: eyeris_2.0.0.zip
macOS binaries: r-release (arm64): eyeris_2.0.0.tgz, r-oldrel (arm64): eyeris_2.0.0.tgz, r-release (x86_64): eyeris_2.0.0.tgz, r-oldrel (x86_64): eyeris_2.0.0.tgz
Old sources: eyeris archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=eyeris to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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