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/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:
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