A modular and extendable approach to extract (micro)saccades from gaze samples via an ensemble of methods. Although there is an agreement about a general definition of a saccade, the more specific details are harder to agree upon. Therefore, there are numerous algorithms that extract saccades based on various heuristics, which differ in the assumptions about velocity, acceleration, etc. The package uses three methods (Engbert and Kliegl (2003) <doi:10.1016/S0042-6989(03)00084-1>, Otero-Millan et al. (2014)<doi:10.1167/14.2.18>, and Nyström and Holmqvist (2010) <doi:10.3758/BRM.42.1.188>) to label individual samples and then applies a majority vote approach to identify saccades. The package includes three methods but can be extended via custom functions. It also uses a modular approach to compute velocity and acceleration from noisy samples. Finally, you can obtain methods votes per gaze sample instead of saccades.
Version: 0.1.3 Depends: R (≥ 4.1.0), dplyr, rlang, cluster, signal, tidyr Imports: magrittr, Rcpp (≥ 1.0.8) LinkingTo: Rcpp Suggests: rmarkdown, knitr, ggplot2, spelling, testthat (≥ 3.0.0) Published: 2023-09-06 DOI: 10.32614/CRAN.package.saccadr Author: Alexander Pastukhov [aut, cre] Maintainer: Alexander Pastukhov <pastukhov.alexander at gmail.com> BugReports: https://github.com/alexander-pastukhov/saccadr/issues/ License: GPL (≥ 3) URL: https://github.com/alexander-pastukhov/saccadr/, https://alexander-pastukhov.github.io/saccadr/ NeedsCompilation: yes Language: en-US Materials: README NEWS CRAN checks: saccadr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=saccadr to link to this page.
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