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segmag
View on CRAN: Click
here
Download and install segmag package within the R console
Install from CRAN:
install.packages("segmag")
Install from Github:
library("remotes")
install_github("cran/segmag") Install by package version:
library("remotes")
install_version("segmag", "1.2.4") Attach the package and use:
library("segmag")
Maintained by
Frank Papenmeier
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-10-17
Latest Update: 2016-08-11
Description:
Contains functions that help to determine event
boundaries in event segmentation experiments by bootstrapping a critical
segmentation magnitude under the null hypothesis that all key presses were
randomly distributed across the experiment. Segmentation magnitude is
defined as the sum of Gaussians centered at the times of the segmentation
key presses performed by the participants. Within a participant, the maximum
of the overlaid Gaussians is used to prevent an excessive influence of a
single participant on the overall outcome (e.g. if a participant is pressing
the key multiple times in succession). Further functions are included, such
as plotting the results.
How to cite:
Frank Papenmeier (2014). segmag: Determine Event Boundaries in Event Segmentation Experiments. R package version 1.2.4, https://cran.r-project.org/web/packages/segmag. Accessed 06 Aug. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for segmag
Functions, R codes and Examples using
the segmag R package
Some associated functions: bootstrap_critical_cutoffs . flag_maxima_positions . get_eb_times . get_eb_times_segmag_diff . plot.segmag . segmag .
Some associated R codes: RcppExports.R . Full segmag package functions and examples
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