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}). See a demonstration in the URL.
Version: 1.1.1 Depends: R (≥ 3.5.0) Imports: dplyr, ggplot2, zoo, ggforce, tidyr, ggpubr, jpeg, patchwork, shiny, plotly, base64enc, magick, scales Published: 2025-05-07 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 URL: https://drjohanlk.github.io/kollaR/demo.html NeedsCompilation: no Citation: kollaR citation info CRAN checks: kollaR results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=kollaR to link to this page.
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