eyetrackingR

CRANeyetrackingRMaRDI QIDQ121086

Eye-Tracking Data Analysis

Brock Ferguson, Jacob Dink, Samuel Forbes

Last update: 15 September 2023

Copyright license: MIT license, File License

Software version identifier: 0.2.0, 0.1.0, 0.1.1, 0.1.2, 0.1.3, 0.1.4, 0.1.5, 0.1.6, 0.1.7, 0.1.8, 0.2.1

Description

Addresses tasks along the pipeline from raw data to analysis and visualization for eye-tracking data. Offers several popular types of analyses, including linear and growth curve time analyses, onset-contingent reaction time analyses, as well as several non-parametric bootstrapping approaches. For references to the approach see Mirman, Dixon & Magnuson (2008) <doi:10.1016/j.jml.2007.11.006>, and Barr (2008) <doi:10.1016/j.jml.2007.09.002>.

Cites work

• Statistical and computational models of the visual world paradigm: Growth curves and individual differences
• Analyzing ‘visual world’ eyetracking data using multilevel logistic regression

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