Functions for analysing eye tracking data, including event detection, visualizations and area of interest (AOI) based analyses. The package includes implementations of the IV-T, I-DT, adaptive velocity threshold, and Identification by two means clustering (I2MC) algorithms. See separate documentation for each function. The principles underlying I-VT and I-DT algorithms 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>. The adaptive velocity threshold algorithm is described in Nyström & Holmqvist (2010),<doi:10.3758/BRM.42.1.188>. A documentation of the 'kollaR' can be found in Kleberg et al (2026) <doi:10.3758/s13428-025-02903-z>. Cite this paper when using 'kollaR' See a demonstration in the URL.
| Version: | 1.1.3 |
| Depends: | R (≥ 3.5.0) |
| Imports: | dplyr, ggplot2, zoo, ggforce, tidyr, ggpubr, jpeg, patchwork, shiny, plotly, base64enc, magick, scales |
| Published: | 2026-02-25 |
| 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 |
| URL: | https://drjohanlk.github.io/kollaR/demo.html |
| NeedsCompilation: | no |
| Citation: | kollaR citation info |
| CRAN checks: | kollaR results |
| Reference manual: | kollaR.html , kollaR.pdf |
| Package source: | kollaR_1.1.3.tar.gz |
| Windows binaries: | r-devel: kollaR_1.1.3.zip, r-release: kollaR_1.1.3.zip, r-oldrel: kollaR_1.1.3.zip |
| macOS binaries: | r-release (arm64): kollaR_1.1.3.tgz, r-oldrel (arm64): kollaR_1.1.3.tgz, r-release (x86_64): kollaR_1.1.3.tgz, r-oldrel (x86_64): kollaR_1.1.3.tgz |
| Old sources: | kollaR archive |
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