Package: eyetrackingR
Type: Package
Version: 0.1.8
Title: Eye-Tracking Data Analysis
Authors@R: c(
	person("Jacob", "Dink", email = "jacobwdink@gmail.com", role = c("aut", "cre")),
	person("Brock", "Ferguson", email = "brock.ferguson@gmail.com", role = c("aut"))
	)
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: http://eyetracking-r.com
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 <jacobwdink@gmail.com>
Repository: CRAN
Date/Publication: 2018-12-03 22:00:39 UTC
Built: R 3.5.3; ; 2020-04-22 08:39:39 UTC; windows
