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. Kieslich [aut, cre], Dirk U. Wulff [aut], Felix Henninger [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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=mousetrap to link to this page.
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