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saccadr
View on CRAN: Click
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Download and install saccadr package within the R console
Install from CRAN:
install.packages("saccadr")
Install from Github:
library("remotes")
install_github("cran/saccadr") Install by package version:
library("remotes")
install_version("saccadr", "0.1.3") Attach the package and use:
library("saccadr")
Maintained by
Alexander Pastukhov
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-20
Latest Update: 2023-09-06
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) ,
Otero-Millan et al. (2014), and Nystr
How to cite:
Alexander Pastukhov (2022). saccadr: Extract Saccades via an Ensemble of Methods Approach. R package version 0.1.3, https://cran.r-project.org/web/packages/saccadr. Accessed 26 Oct. 2026.
Previous versions and publish date:
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Complete documentation for saccadr
Functions, R codes and Examples using
the saccadr R package
Some associated functions: compute_velocity_ek . diff_ek . diff_nh . extract_saccades . filter_via_savitzky_golay . input_to_matrix . method_ek . method_nh . method_om . monocular_ten_trials . option_or_default . pipe . saccadr-package . sd_via_median_estimator . single_trial . single_trial_binocular .
Some associated R codes: RcppExports.R . data.R . diff_ek.R . diff_nh.R . extract_saccades.R . input_to_matrix.R . method_ek.R . method_nh.R . method_om.R . option_or_default.R . saccadr.R . sd_via_median_estimator.R . utils-pipe.R . Full saccadr package functions and examples
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