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PupillometryR
View on CRAN: Click
here
Download and install PupillometryR package within the R console
Install from CRAN:
install.packages("PupillometryR")
Install from Github:
library("remotes")
install_github("cran/PupillometryR") Install by package version:
library("remotes")
install_version("PupillometryR", "0.0.7") Attach the package and use:
library("PupillometryR")
Maintained by
Samuel Forbes
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-02
Latest Update: 2023-09-15
Description:
Provides a unified pipeline to clean, prepare, plot,
and run basic analyses on pupillometry experiments.
How to cite:
Samuel Forbes (2020). PupillometryR: A Unified Pipeline for Pupillometry Data. R package version 0.0.7, https://cran.r-project.org/web/packages/PupillometryR. Accessed 25 Jun. 2026.
Previous versions and publish date:
Other packages that cited PupillometryR R package
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Other R packages that PupillometryR depends,
imports, suggests or enhances
Complete documentation for PupillometryR
Functions, R codes and Examples using
the PupillometryR R package
Some associated functions: GeomFlatViolin . baseline_data . calculate_mean_pupil_size . calculate_missing_data . clean_missing_data . create_difference_data . create_functional_data . create_time_windows . create_window_data . downsample_time_data . filter_data . geom_flat_violin . gfv_helper1 . interpolate_data . make_pupillometryr_data . mean2 . plot.Pupil_difference_data . plot.Pupil_test_data . plot.Pupil_window_data . plot.PupillometryR . pupil_data . regress_data . replace_missing_data . run_functional_t_test . subset_data .
Some associated R codes: baseline_data.R . calculate_mean_pupil_size.R . clean_and_downsample.R . functional_data.R . geom_flat_violin.R . globals.R . make_pupillometryR_data.R . make_smoothed_data.R . plot_pupil_data.R . pupil_data.R . subset_data.R . Full PupillometryR package functions and examples
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