CRAN/E | saccadr

saccadr

Extract Saccades via an Ensemble of Methods Approach

Installation

About

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.

github.com/alexander-pastukhov/saccadr/
alexander-pastukhov.github.io/saccadr/
Bug report File report

Key Metrics

Version 0.1.3
R ≥ 4.1.0
Published 2023-09-06 204 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks saccadr results
Language en-US

Downloads

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Maintainer

Maintainer

Alexander Pastukhov

pastukhov.alexander@gmail.com

Authors

Alexander Pastukhov

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Implemented Methods
Using Custom Methods
Using Sample Votes
Velocity computation

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

saccadr archive

Depends

R ≥ 4.1.0
dplyr
rlang
cluster
signal
tidyr

Imports

magrittr
Rcpp ≥ 1.0.8

Suggests

rmarkdown
knitr
ggplot2
spelling
testthat ≥ 3.0.0

LinkingTo

Rcpp