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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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=mousetRajectory
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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