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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 Wulff, Kieslich, Henninger, Haslbeck, & Schulte-Mecklenbeck (2023) <doi:10.31234/osf.io/v685r> (preprint: <https://osf.io/preprints/psyarxiv/v685r>).
Maintained by Pascal J. Kieslich. Last updated 1 years ago.
analysisclusteringmouse-trackingvisualizationcpp
88.1 match 46 stars 6.68 score 124 scripts
antcalcagni
ssMousetrack:Bayesian State-Space Modeling of Mouse-Tracking Experiments via Stan
Estimates previously compiled state-space modeling for mouse-tracking experiments using the 'rstan' package, which provides the R interface to the Stan C++ library for Bayesian estimation.
Maintained by Antonio Calcagnì. Last updated 6 hours ago.
bayesian-data-analysismouse-trackingstate-space-modelcpp
49.4 match 2.70 score 8 scripts