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`eyeris`: A Flexible, Extensible, and Reproducible Pupillometry Preprocessing Framework in R
For a full list of all functions, see the [eyeris reference
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- llms.txt
- https://eyeris.shawnschwartz.com/llms.txt
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Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T11:07:13.882Z. Cached copy · Source on shawnschwartz.com
# `eyeris`: A Flexible, Extensible, and Reproducible Pupillometry Preprocessing Framework in R
##  Desktop app
Preprocess pupil data and review epochs in `eyeris` Desktop, with `R`
included.
[](https://github.com/shawntz/eyeris/releases/download/desktop-latest/eyeris-macos-arm64.dmg)
[](https://github.com/shawntz/eyeris/releases/download/desktop-latest/eyeris-linux-x64.AppImage)
[](https://github.com/shawntz/eyeris/releases/download/desktop-latest/eyeris-windows-x64.exe)
*A tour of the desktop workflow using the bundled EyeLink demo
recording. [View the welcome
screen](https://eyeris.shawnschwartz.com/man/figures/desktop-splash.png).*
- **Organize your study:** keep subjects, recordings, processing
outputs, and review decisions together in a local project.
- **Configure preprocessing:** import EyeLink ASC files and adjust blink
removal, interpolation, filtering, and other pipeline steps.
- **Extract epochs:** choose event patterns, time windows, and optional
baseline correction; generate BIDS outputs and diagnostic reports.
- **Inspect pupil signals:** compare preprocessing stages, zoom into
traces, and search or filter the epoch queue. You can also import
processed `eyeris` RDS files.
- **Keep or reject epochs:** record exclusion reasons and notes, use
keyboard shortcuts, undo decisions, and resume a saved review.
- **Export reviewed data:** save kept, excluded, and unreviewed epochs
separately as CSV and RDS, alongside the decision log and review
history.
[Installation
help](https://github.com/shawntz/eyeris/blob/dev/desktop/README.md)
## 💡 Motivation
Despite decades of pupillometry research, many established packages and
workflows unfortunately lack design principles based on (F)indability
(A)ccessbility (I)nteroperability (R)eusability (FAIR) principles.
`eyeris`, on the other hand follows a thoughtful design philosophy that
results in an intuitive, modular, performant, and extensible
pupillometry data preprocessing framework. Much of these design
principles were heavily inspired by `Nipype`.
`eyeris` also provides a highly opinionat
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