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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:

Reference manual: kollaR.pdf

Downloads:

Package source: kollaR_1.0.3.tar.gz
Windows binaries: r-devel: kollaR_1.0.3.zip, r-release: kollaR_1.0.3.zip, r-oldrel: kollaR_1.0.3.zip
macOS binaries: r-devel (arm64): kollaR_1.0.3.tgz, r-release (arm64): kollaR_1.0.3.tgz, r-oldrel (arm64): kollaR_1.0.3.tgz, r-devel (x86_64): kollaR_1.0.3.tgz, r-release (x86_64): kollaR_1.0.3.tgz, r-oldrel (x86_64): kollaR_1.0.3.tgz
Old sources: kollaR archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.