PupilPre: Preprocessing Pupil Size Data

Pupillometric data collected using SR Research Eyelink eye trackers requires significant preprocessing. This package contains functions for preparing pupil dilation data for visualization and statistical analysis. Specifically, it provides a pipeline of functions which aid in data validation, the removal of blinks/artifacts, downsampling, and baselining, among others. Additionally, plotting functions for creating grand average and conditional average plots are provided. See the vignette for samples of the functionality. The package is designed for handling data collected with SR Research Eyelink eye trackers using Sample Reports created in SR Research Data Viewer.

Version: 0.6.2
Depends: R (≥ 3.5.0), dplyr (≥ 0.8.0), rlang (≥ 0.1.1), VWPre (≥ 1.2.0)
Imports: ggplot2 (≥ 2.2.0), mgcv (≥ 1.8-16), shiny (≥ 0.14.2), tidyr (≥ 0.6.0), stats (≥ 3.3.2), robustbase (≥ 0.93-3), zoo (≥ 1.8-4), signal (≥ 0.7-6)
Suggests: knitr, rmarkdown, gridExtra
Published: 2020-03-10
Author: Aki-Juhani Kyröläinen [aut, cre], Vincent Porretta [aut], Jacolien van Rij [ctb], Juhani Järvikivi [ctb]
Maintainer: Aki-Juhani Kyröläinen <akkyro at gmail.com>
License: GPL-3
NeedsCompilation: no
Citation: PupilPre citation info
Materials: README NEWS
CRAN checks: PupilPre results


Reference manual: PupilPre.pdf
Vignettes: Basic Preprocessing of Pupil Size Data
Blink and Artifact Cleanup (Detailed)
Interpolation and Filtering of Pupil Size Data
Aligning Data to a Specific Sample Message
Plotting Pupil Size Data Processed with PupilPre
Package source: PupilPre_0.6.2.tar.gz
Windows binaries: r-devel: PupilPre_0.6.2.zip, r-release: PupilPre_0.6.2.zip, r-oldrel: PupilPre_0.6.2.zip
macOS binaries: r-release: PupilPre_0.6.2.tgz, r-oldrel: PupilPre_0.6.2.tgz
Old sources: PupilPre archive


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