DESCRIPTION

Package: eyetrackingR
Type: Package
Version: 0.2.2
Title: Eye-Tracking Data Analysis
Authors@R: c(
    person("Samuel", "Forbes", email = "samuel.h.forbes@gmail.com", role = c("aut", "cre")),
	person("Jacob", "Dink", email = "jacobwdink@gmail.com", role = c("aut")),
	person("Brock", "Ferguson", email = "brock.ferguson@gmail.com", role = c("aut"))
	)
Description: 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>.
URL: https://samforbes.me/eyetrackingR/
BugReports: https://github.com/samhforbes/eyetrackingR/issues
Date: 2025-07-02
Depends: 
    R (>= 3.2.0),
    dplyr (>= 0.7.4)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
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
VignetteBuilder: knitr
RoxygenNote: 7.3.2