mousetRajectory: Mouse Trajectory Analyses for Behavioural Scientists
Helping psychologists and other behavioural scientists to analyze mouse movement (and other 2-D trajectory) data. Bundles together several functions that compute spatial measures (e.g., maximum absolute deviation, area under the curve, sample entropy) or provide a shorthand for procedures that are frequently used (e.g., time normalization, linear interpolation, extracting initiation and movement times). For more information on these dependent measures, see Wirth et al. (2020) <doi:10.3758/s13428-020-01409-0>.
| Version: | 0.2.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | lifecycle, methods,signal (≥ 0.7), utils |
| Suggests: | dplyr,ggplot2,knitr,rmarkdown,testthat (≥ 3.0.0),V8 |
| Published: | 2023-09-08 |
| DOI: | 10.32614/CRAN.package.mousetRajectory |
| Author: | Roland Pfister [aut, cre, cph], Solveig Tonn [aut], Moritz Schaaf [aut], Robert Wirth [aut] |
| Maintainer: | Roland Pfister <mail at roland-pfister.net> |
| BugReports: | https://github.com/mc-schaaf/mousetRajectory/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/mc-schaaf/mousetRajectory,https://mc-schaaf.github.io/mousetRajectory/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | mousetRajectory citation info |
| Materials: | README,NEWS |
| CRAN checks: | mousetRajectory results |
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