Package: saccadr 0.1.3

saccadr: Extract Saccades via an Ensemble of Methods Approach

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.

Authors:Alexander Pastukhov [aut, cre]

saccadr_0.1.3.tar.gz
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saccadr_0.1.3.tgz(r-4.4-x86_64)saccadr_0.1.3.tgz(r-4.4-arm64)saccadr_0.1.3.tgz(r-4.3-x86_64)saccadr_0.1.3.tgz(r-4.3-arm64)
saccadr_0.1.3.tar.gz(r-4.5-noble)saccadr_0.1.3.tar.gz(r-4.4-noble)
saccadr_0.1.3.tgz(r-4.4-emscripten)saccadr_0.1.3.tgz(r-4.3-emscripten)
saccadr.pdf |saccadr.html
saccadr/json (API)
NEWS

# Install 'saccadr' in R:
install.packages('saccadr', repos = c('https://alexander-pastukhov.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/alexander-pastukhov/saccadr/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

4.90 score 4 stars 8 scripts 134 downloads 12 exports 25 dependencies

Last updated 1 years agofrom:c8badfb803. Checks:OK: 4 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64NOTENov 07 2024
R-4.5-linux-x86_64NOTENov 07 2024
R-4.4-win-x86_64NOTENov 07 2024
R-4.4-mac-x86_64NOTENov 07 2024
R-4.4-mac-aarch64NOTENov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:%>%compute_velocity_ekdiff_ekdiff_nhextract_saccadesfilter_via_savitzky_golayinput_to_matrixmethod_ekmethod_nhmethod_omoption_or_defaultsd_via_median_estimator

Dependencies:cliclustercpp11dplyrfansigenericsgluelifecyclemagrittrMASSpillarpkgconfigpurrrR6Rcpprlangsignalstringistringrtibbletidyrtidyselectutf8vctrswithr

Implemented Methods

Rendered frommethods.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2022-09-19
Started: 2022-07-30

Using Custom Methods

Rendered fromusing_custom_methods.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2022-09-19
Started: 2022-07-30

Using Sample Votes

Rendered fromusing_sample_votes.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2022-09-19
Started: 2022-07-30

Velocity computation

Rendered fromvelocity_computation.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2022-09-19
Started: 2022-09-18