kollaR: Filtering, Visualization and Analysis of Eye Tracking Data
Functions for analysing eye tracking data, including event detection (I-VT, I-DT and two means clustering),
visualizations and area of interest (AOI) based analyses. See separate documentation for each function. The principles underlying I-VT and I-DT filters are described in
Salvucci & Goldberg (2000,\doi{10.1145/355017.355028}). Two-means clustering is described in Hessels et al. (2017, \doi{10.3758/s13428-016-0822-1}).
| Version: |
1.0.3 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
dplyr, ggplot2, zoo, ggforce, tidyr, ggpubr, jpeg, patchwork, shiny, plotly, base64enc, magick, scales |
| Published: |
2025-02-07 |
| DOI: |
10.32614/CRAN.package.kollaR |
| Author: |
Johan Lundin Kleberg [aut, cre] |
| Maintainer: |
Johan Lundin Kleberg <johan.lundin.kleberg at su.se> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Citation: |
kollaR citation info |
| CRAN checks: |
kollaR results |
Documentation:
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