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.

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Description file content

Package
eyetrackingR
Type
Package
Version
0.1.8
Title
Eye-Tracking Data Analysis
Description
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.
URL
BugReports
https://github.com/jwdink/eyetrackingR/issues
Date
2018-12-03
Depends
R (>= 3.2.0), dplyr (>= 0.7.4)
License
MIT + file LICENSE
LazyData
true
Imports
broom (>= 0.3.7), ggplot2 (>= 2.0), lazyeval (>= 0.1.10), zoo (>= 1.7-12), tidyr (>= 0.3.1), purrr (>= 0.2.4)
Suggests
pbapply, knitr, lme4 (>= 1.1-10), Matrix, testthat, rmarkdown, doMC, foreach
VignetteBuilder
knitr
RoxygenNote
6.1.1
NeedsCompilation
no
Packaged
2018-12-03 20:02:33 UTC; jacobdink
Author
Jacob Dink [aut, cre], Brock Ferguson [aut]
Maintainer
Jacob Dink
Repository
CRAN
Date/Publication
2018-12-03 22:00:39 UTC

install.packages('eyetrackingR')

0.1.8

6 days ago

http://eyetracking-r.com

Jacob Dink

MIT + file LICENSE

Depends on

R (>= 3.2.0), dplyr (>= 0.7.4)

Imports

broom (>= 0.3.7), ggplot2 (>= 2.0), lazyeval (>= 0.1.10), zoo (>= 1.7-12), tidyr (>= 0.3.1), purrr (>= 0.2.4)

Suggests

pbapply, knitr, lme4 (>= 1.1-10), Matrix, testthat, rmarkdown, doMC, foreach

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