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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 |
DOI: | 10.32614/CRAN.package.eyetrackingR |
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 |
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 suggests: | jlmerclusterperm |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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