Process and Analyze Mouse-Tracking Data R package mousetrap version 3.2.3 CRAN Task View: SpatioTemporal (https://CRAN.R-project.org/view=SpatioTemporal) CRAN Task View: Tracking (https://CRAN.R-project.org/view=Tracking) 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>). Software 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 Pascal J. Kieslich <pascal.kieslich@gmail.com> Comprehensive R Archive Network (CRAN) Pascal J. Kieslich [aut, cre] (ORCID: <https://orcid.org/0000-0002-0853-9364>), Dirk U. Wulff [aut] (ORCID: <https://orcid.org/0000-0002-4008-8022>), Felix Henninger [aut] (ORCID: <https://orcid.org/0000-0002-7730-9511>), Jonas M. B. Haslbeck [aut], Sarah Brockhaus [ctb] GPL-3 2024-01-19 application/tgz https://CRAN.R-project.org/package=mousetrap doi:10.32614/CRAN.package.mousetrap