ETDQualitizer
1.1.0Automated Eye Tracking Data Quality Determination for Screen-Based Eye Trackers
Overview
Compute common data quality metrics for accuracy, precision and data loss for screen-based eye trackers. The package supports gaze input in screen pixels or degrees and reports angular measures in degrees where appropriate. If you use this package, please cite Niehorster, D.C., Nyström, M., Hessels, R.S., Benjamins, J.S., Andersson, R., and Hooge, I.T.C. (2026). The fundamentals of eye tracking, Part 7: Determining data quality. Behavior Research Methods. doi:10.3758/s13428-026-03039-4.
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Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 87%
- Documented parameters
- 100%
- Return-value docs
- 87%
- References docs
- 0%
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Checks run against github.com/dcnieho/etdqualitizer on 2026-08-02.
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Code & Tests
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3 releases. Pick two to compare their code metrics. R releases are shown for context.
- 1.1.0Latest
- 1.0.02026-05-21 · diff ↗
- RR 4.6.0 released · 2026-04-24
- 0.9.02026-03-10
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-09-09
- Total releases
- 3 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 17 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet