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 |
| 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 |
Documentation:
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