Package: saccadr
Type: Package
Title: Extract Saccades via an Ensemble of Methods Approach
Version: 0.1.3
Date: 2023-09-06
Authors@R: 
  person(given = "Alexander",
         family = "Pastukhov",
         role = c("aut", "cre"),
         email ="pastukhov.alexander@gmail.com",
         comment = c(ORCID = "0000-0002-8738-8591"))
Description: 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.
License: GPL (>= 3)
URL: https://github.com/alexander-pastukhov/saccadr/,
        https://alexander-pastukhov.github.io/saccadr/
BugReports: https://github.com/alexander-pastukhov/saccadr/issues/
Imports: magrittr, Rcpp (>= 1.0.8)
LinkingTo: Rcpp
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
VignetteBuilder: knitr
Depends: R (>= 4.1.0), dplyr, rlang, cluster, signal, tidyr
Suggests: rmarkdown, knitr, ggplot2, spelling, testthat (>= 3.0.0)
Language: en-US
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2023-09-06 14:13:09 UTC; ba7dr4
Author: Alexander Pastukhov [aut, cre]
    (<https://orcid.org/0000-0002-8738-8591>)
Maintainer: Alexander Pastukhov <pastukhov.alexander@gmail.com>
Repository: CRAN
Date/Publication: 2023-09-06 15:30:02 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-10-13 11:54:10 UTC; windows
Archs: x64
