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eyeris
View on CRAN: Click
here
Download and install eyeris package within the R console
Install from CRAN:
install.packages("eyeris")
Install from Github:
library("remotes")
install_github("cran/eyeris") Install by package version:
library("remotes")
install_version("eyeris", "3.0.1") Attach the package and use:
library("eyeris")
Maintained by
Shawn Schwartz
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-03-31
Latest Update: 2025-07-26
Description:
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>).
How to cite:
Shawn Schwartz (2025). eyeris: Flexible, Extensible, & Reproducible Pupillometry Preprocessing. R package version 3.0.1, https://cran.r-project.org/web/packages/eyeris. Accessed 17 Jul. 2026.
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