eyetrackingR: Eye-Tracking Data Analysis

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>.

Version:	0.2.1
Depends:	R (≥ 3.2.0), dplyr (≥ 0.7.4)
Imports:	broom (≥ 0.3.7), broom.mixed, ggplot2 (≥ 2.0), lazyeval (≥ 0.1.10), rlang, zoo (≥ 1.7-12), tidyr (≥ 0.3.1), purrr (≥ 0.2.4)
Suggests:	pbapply, knitr, lme4 (≥ 1.1-10), glmmTMB, MASS, Matrix, testthat, rmarkdown, doMC, foreach
Published:	2023-09-15
Author:	Samuel Forbes [aut, cre], Jacob Dink [aut], Brock Ferguson [aut]
Maintainer:	Samuel Forbes <samuel.h.forbes at gmail.com>
BugReports:	https://github.com/samhforbes/eyetrackingR/issues
License:	MIT + file LICENSE
URL:	http://samforbes.me/eyetrackingR/
NeedsCompilation:	no
Citation:	eyetrackingR citation info
Materials:	README NEWS
CRAN checks:	eyetrackingR results

Documentation:

Reference manual:	eyetrackingR.pdf
Vignettes:	Estimating time windows of divergence Performing a growth curve analysis using eyetrackingR Performing an onset-contingent analysis using eyetrackingR Preparing your data for use with eyetrackingR Performing a window analysis using eyetrackingR

Downloads:

Package source:	eyetrackingR_0.2.1.tar.gz
Windows binaries:	r-devel: eyetrackingR_0.2.1.zip, r-release: eyetrackingR_0.2.1.zip, r-oldrel: eyetrackingR_0.2.1.zip
macOS binaries:	r-release (arm64): eyetrackingR_0.2.1.tgz, r-oldrel (arm64): eyetrackingR_0.2.1.tgz, r-release (x86_64): eyetrackingR_0.2.1.tgz, r-oldrel (x86_64): eyetrackingR_0.2.1.tgz
Old sources:	eyetrackingR archive

Reverse dependencies:

Reverse suggests:

jlmerclusterperm

Linking:

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