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segmag: Determine Event Boundaries in Event Segmentation Experiments

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.

Version: 1.2.4
Imports: Rcpp (≥ 0.11.0), utils, stats, grDevices, graphics, plyr
LinkingTo: Rcpp
Suggests: testthat
Published: 2016-08-11
DOI: 10.32614/CRAN.package.segmag
Author: Frank Papenmeier [aut, cre], Konstantin Sering [ctb]
Maintainer: Frank Papenmeier <frank.papenmeier at uni-tuebingen.de>
License: GPL (≥ 3)
NeedsCompilation: yes
Materials: NEWS
CRAN checks: segmag results

Documentation:

Reference manual: segmag.pdf

Downloads:

Package source: segmag_1.2.4.tar.gz
Windows binaries: r-devel: segmag_1.2.4.zip, r-release: segmag_1.2.4.zip, r-oldrel: segmag_1.2.4.zip
macOS binaries: r-release (arm64): segmag_1.2.4.tgz, r-oldrel (arm64): segmag_1.2.4.tgz, r-release (x86_64): segmag_1.2.4.tgz, r-oldrel (x86_64): segmag_1.2.4.tgz
Old sources: segmag archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.