eyetrackingR (0.1.8)

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Eye-Tracking Data Analysis.


A set of tools that address 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.

Maintainer: Jacob Dink
Author(s): Jacob Dink [aut, cre], Brock Ferguson [aut]

License: MIT + file LICENSE

Uses: broom, dplyr, ggplot2, lazyeval, purrr, tidyr, zoo, Matrix, lme4, doMC, foreach, testthat, pbapply, knitr, rmarkdown

Released about 1 year ago.

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