PascalKieslich/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 Kieslich, Henninger, Wulff, Haslbeck, & Schulte-Mecklenbeck (2019) <doi: 10.4324/9781315160559-9> (preprint: https://psyarxiv.com/zuvqa/).
Getting started
Browse package contents
Package details |
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| Maintainer | Pascal J. Kieslich <pascal.kieslich@gmail.com> |
| License | GPL-3 |
| Version | 3.1.5 |
| URL | https://github.com/pascalkieslich/mousetrap |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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