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.

Version: 3.0.0
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
LinkingTo: Rcpp
Suggests: readbulk, testthat
Published: 2017-02-11
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 <kieslich at psychologie.uni-mannheim.de>
BugReports: https://github.com/pascalkieslich/mousetrap/issues
License: GPL-3
URL: https://github.com/pascalkieslich/mousetrap
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: mousetrap results

Downloads:

Reference manual: mousetrap.pdf
Package source: mousetrap_3.0.0.tar.gz
Windows binaries: r-devel: mousetrap_3.0.0.zip, r-release: mousetrap_3.0.0.zip, r-oldrel: mousetrap_3.0.0.zip
OS X Mavericks binaries: r-release: mousetrap_3.0.0.tgz, r-oldrel: mousetrap_3.0.0.tgz
Old sources: mousetrap archive

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