The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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 [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>]. '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: 1.1.0
Depends: R (≥ 4.1)
Imports: eyelinker, dplyr, gsignal, purrr, zoo, cli, rlang, stringr, utils, stats, graphics, grDevices, tidyr, progress, data.table, withr, lifecycle
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-04-24
DOI: 10.32614/CRAN.package.eyeris
Author: Shawn Schwartz ORCID iD [aut, cre, cph], Stanford Wu Tsai Human Performance Alliance [fnd], Stanford Ric Weiland Graduate Fellowship [fnd], Stanford Center for Mind, Brain, Computation and Technology [fnd], NIH National Institute on Aging R01 AG065255 [fnd], Mingjian He ORCID iD [ctb], Haopei Yang ORCID iD [ctb], Gustavo Santiago-Reyes ORCID iD [ctb]
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_1.1.0.tar.gz
Windows binaries: r-devel: eyeris_1.0.0.zip, r-release: eyeris_1.1.0.zip, r-oldrel: eyeris_1.1.0.zip
macOS binaries: r-release (arm64): eyeris_1.1.0.tgz, r-oldrel (arm64): eyeris_1.1.0.tgz, r-release (x86_64): eyeris_1.1.0.tgz, r-oldrel (x86_64): eyeris_1.1.0.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.
Health stats visible at Monitor.