eyetrackingR: 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.

Version: 0.1.6
Depends: R (≥ 3.2.0)
Imports: broom (≥ 0.3.7), dplyr (≥ 0.4.3), ggplot2 (≥ 2.0), lazyeval (≥ 0.1.10), zoo (≥ 1.7-12), tidyr (≥ 0.3.1)
Suggests: pbapply, knitr, lme4 (≥ 1.1-10), Matrix, testthat, rmarkdown, doMC, foreach
Published: 2016-03-17
Author: Jacob Dink [aut, cre], Brock Ferguson [aut]
Maintainer: Jacob Dink <jacobwdink at gmail.com>
BugReports: https://github.com/jwdink/eyetrackingR/issues
License: MIT + file LICENSE
URL: http://eyetracking-r.com
NeedsCompilation: no
Citation: eyetrackingR citation info
Materials: README NEWS
CRAN checks: eyetrackingR results

Downloads:

Reference manual: eyetrackingR.pdf
Vignettes: Estimating time windows of divergence
Performing a growth curve analysis
Performing an onset-contingent analysis
Preparing your data for eyetrackingR
Performing a window analysis
Package source: eyetrackingR_0.1.6.tar.gz
Windows binaries: r-devel: eyetrackingR_0.1.6.zip, r-release: eyetrackingR_0.1.6.zip, r-oldrel: eyetrackingR_0.1.6.zip
OS X El Capitan binaries: r-release: eyetrackingR_0.1.6.tgz
OS X Mavericks binaries: r-oldrel: eyetrackingR_0.1.6.tgz
Old sources: eyetrackingR archive

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