doi:10.31234/osf.io/v685r> (preprint: <https://osf.io/preprints/psyarxiv/v685r>).">

mousetrap: Process and Analyze Mouse-Tracking Data (original) (raw)

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/osf.io/v685r> (preprint: <https://osf.io/preprints/psyarxiv/v685r>).

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. KieslichORCID 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 gmail.com>
BugReports: https://github.com/pascalkieslich/mousetrap/issues
License: GPL-3
URL: https://pascalkieslich.github.io/mousetrap/,https://github.com/pascalkieslich/mousetrap
NeedsCompilation: yes
Citation: mousetrap citation info
Materials: README, NEWS
In views: SpatioTemporal, Tracking
CRAN checks: mousetrap results

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