mousetrap: Process and Analyze Mouse-Tracking Data

Mouse-tracking, the analysis of mouse movements in computerized experiments, is a method that is becoming increasingly popular in the cognitive sciences. The mousetrap package offers functions for importing, preprocessing, analyzing, aggregating, and visualizing mouse-tracking data. An introduction into mouse-tracking analyses using mousetrap can be found in Wulff, Kieslich, Henninger, Haslbeck, & Schulte-Mecklenbeck (2023) <doi:10.31234/> (preprint: <>).

Version: 3.2.3
Depends: R (≥ 3.1.0)
Imports: utils, stats, pracma, dplyr (≥ 0.5.0), tidyr, magrittr, graphics, grDevices, ggplot2, scales, psych (≥ 1.2.4), Rcpp (≥ 0.11.4), diptest, RColorBrewer, cstab, fastcluster, parallel, fields, rlang, lifecycle
LinkingTo: Rcpp
Suggests: readbulk, testthat
Published: 2024-01-19
DOI: 10.32614/CRAN.package.mousetrap
Author: Pascal J. Kieslich ORCID iD [aut, cre], Dirk U. Wulff ORCID iD [aut], Felix Henninger ORCID iD [aut], Jonas M. B. Haslbeck [aut], Sarah Brockhaus [ctb]
Maintainer: Pascal J. Kieslich <pascal.kieslich at>
License: GPL-3
NeedsCompilation: yes
Citation: mousetrap citation info
Materials: README NEWS
In views: SpatioTemporal, Tracking
CRAN checks: mousetrap results


Reference manual: mousetrap.pdf


Package source: mousetrap_3.2.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mousetrap_3.2.3.tgz, r-oldrel (arm64): mousetrap_3.2.3.tgz, r-release (x86_64): mousetrap_3.2.3.tgz, r-oldrel (x86_64): mousetrap_3.2.3.tgz
Old sources: mousetrap archive


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