Event Classification, Visualization and Analysis of Eye Tracking Data

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) . Two-means clustering is described in Hessels et al. (2017), . The adaptive velocity threshold algorithm is described in Nyström & Holmqvist (2010),. A documentation of the 'kollaR' can be found in Kleberg et al (2026) . Cite this paper when using 'kollaR' See a demonstration in the URL.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("kollaR")

1.1.4 by Johan Lundin Kleberg, 5 months ago


https://drjohanlk.github.io/kollaR/demo.html


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


Authors: Johan Lundin Kleberg [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, ggplot2, zoo, ggforce, tidyr, ggpubr, jpeg, patchwork, shiny, base64enc, magick, scales


See at CRAN