Eye-Tracking Data Analysis
Overview
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.
- Added plotting support for glmmTMB betabinomial models
- Fixes compatibility with latest changes to how formulas are read
From NEWS.md in the release
Install
Health
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from: ‘rlang’ All declared Imports should be used.
- NOTE11 OK, 2 NOTE2026-06-09
- ERROR10 OK, 2 NOTE, 1 ERROR2026-06-08
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 35includes a package overview page
- Examples that run
- 44%7 run in a plain check · 9 never run
- Exported functions with examples
- 78%
- Documented parameters
- 94%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- not measured
- Median days to close, 50 most recently updated closed issues
- 17
- Median days to close, 50 most recently updated closed PRs
- not measured
Stars over time
Forks over time
Releases over time
Issues over time
4 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/samhforbes/eyetrackingr on 2026-10-18.
The R CMD check workflow runs on Linux
GitHub Pages site last deployed 2025-06-16
pkgdown site last built 2025-06-16, before release 0.2.2 (2025-06-18)
Dependencies
Installing eyetrackingR adds 42 packages (20 with compiled code, 37 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, broom.mixed 4.9 MB.
Code & Tests
Datasets
People & History
Previously maintained by Jacob Dink (0.1.0 to 0.1.8).
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.2.2Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.2.12023-09-15 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- unarchivedReturned to CRAN2021-09-27
- 0.2.02021-09-27 · diff ↗
- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2020-07-25check problems were not corrected in time
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.1.82018-12-03 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.1.7
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Package metadata
- First published
- 2015-11-06
- Total releases
- 12 / 11 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.2.0
- Bundled data
- 139 KB / 1 file
- Download size
- 786 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("eyetrackingR")The package provides a citation file that builds its entry when R runs it. Run citation() to see it.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.