CRAN/E | eyetrackingR

eyetrackingR

Eye-Tracking Data Analysis

Installation

About

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.

Citation eyetrackingR citation info
samforbes.me/eyetrackingR/
Bug report File report

Key Metrics

Version 0.2.1
R ≥ 3.2.0
Published 2023-09-15 221 days ago
Needs compilation? no
License MIT
License File
CRAN checks eyetrackingR results

Downloads

Yesterday 7 -46%
Last 7 days 106 +19%
Last 30 days 379 -20%
Last 90 days 1.529 +12%
Last 365 days 5.338 0%

Maintainer

Maintainer

Samuel Forbes

samuel.h.forbes@gmail.com

Authors

Samuel Forbes

aut / cre

Jacob Dink

aut

Brock Ferguson

aut

Material

README
NEWS
Reference manual
Package source

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

eyetrackingR archive

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

Reverse Suggests

jlmerclusterperm