Automated Eye Tracking Data Quality Determination for Screen-Based Eye Trackers

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. .


Reference manual

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install.packages("ETDQualitizer")

1.1.0 by Diederick Niehorster, 4 months ago


https://github.com/dcnieho/ETDQualitizer


Report a bug at https://github.com/dcnieho/ETDQualitizer/issues


Browse source code at https://github.com/cran/ETDQualitizer


Authors: Diederick Niehorster [aut, cre, cph] (ORCID:


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports R6, stats

Suggests testthat


See at CRAN