Package: eyeris
Type: Package
Title: Flexible, Extensible, & Reproducible Pupillometry Preprocessing
Version: 1.2.0
Date: 2025-06-05
Authors@R: 
  c(
    person(
      given = "Shawn",
      family = "Schwartz",
      role = c("aut", "cre", "cph"),
      email = "stschwartz@stanford.edu", 
      comment = c(ORCID = "0000-0001-6444-8451")
    ),
    person("Stanford Wu Tsai Human Performance Alliance", role = "fnd"),
    person("Stanford Ric Weiland Graduate Fellowship", role = "fnd"),
    person("Stanford Center for Mind, Brain, Computation and Technology", role = "fnd"),
    person("NIH National Institute on Aging R01-AG065255", role = "fnd"),
    person("NIH National Institute on Aging R01-AG079345", role = "fnd"),
    person("National Science Foundation Graduate Research Fellowship DGE-2146755", role = "fnd"),
    person("McKnight Brain Research Foundation Clinical Translational Research Scholarship in Cognitive Aging and Age-Related Memory Loss", role = "fnd"),
    person("American Brain Foundation", role = "fnd"),
    person("American Academy of Neurology", role = "fnd"),
    person(
      given = "Mingjian",
      family = "He",
      role = "ctb",
      comment = c(ORCID = "0000-0002-6688-8693")
    ),
    person(
      given = "Haopei",
      family = "Yang",
      role = "ctb",
      comment = c(ORCID = "0000-0002-1207-3245")
    ),
    person(
      given = "Alice",
      family = "Xue",
      role = "ctb",
      comment = c(ORCID = "0009-0006-3176-8786")
    ),
    person(
      given = "Gustavo",
      family = "Santiago-Reyes",
      role = "ctb",
      comment = c(ORCID = "0009-0005-3764-3215")
    )
  )
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 [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>].
Encoding: UTF-8
Depends: R (>= 4.1)
Imports: eyelinker, dplyr, gsignal, purrr, zoo, cli, rlang, stringr,
        utils, stats, graphics, grDevices, tidyr, progress, data.table,
        withr, lifecycle
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
License: MIT + file LICENSE
Config/testthat/edition: 3
URL: https://shawnschwartz.com/eyeris/,
        https://github.com/shawntz/eyeris/
BugReports: https://github.com/shawntz/eyeris/issues
NeedsCompilation: no
Packaged: 2025-06-07 01:15:18 UTC; shawn
Author: Shawn Schwartz [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0001-6444-8451>),
  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],
  NIH National Institute on Aging R01-AG079345 [fnd],
  National Science Foundation Graduate Research Fellowship DGE-2146755
    [fnd],
  McKnight Brain Research Foundation Clinical Translational Research
    Scholarship in Cognitive Aging and Age-Related Memory Loss [fnd],
  American Brain Foundation [fnd],
  American Academy of Neurology [fnd],
  Mingjian He [ctb] (ORCID: <https://orcid.org/0000-0002-6688-8693>),
  Haopei Yang [ctb] (ORCID: <https://orcid.org/0000-0002-1207-3245>),
  Alice Xue [ctb] (ORCID: <https://orcid.org/0009-0006-3176-8786>),
  Gustavo Santiago-Reyes [ctb] (ORCID:
    <https://orcid.org/0009-0005-3764-3215>)
Maintainer: Shawn Schwartz <stschwartz@stanford.edu>
Repository: CRAN
Date/Publication: 2025-06-07 02:50:02 UTC
Built: R 4.6.0; ; 2025-06-12 03:00:51 UTC; windows
