A toolkit for the analysis of paths from spatial tracking experiments (such as the Morris water maze) and calculation of goal-finding strategies. This package is centered on an approach using machine learning for path classification.
| Version: | 1.0.0 |
| Depends: | R (≥ 2.10) |
| Imports: | crayon, graphics, grDevices, Hmisc, KernSmooth, methods, openxlsx, parallel, pbapply, randomForest, raster, readxl, rgeos, rjson, sp, stats, tools, utils |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-05-04 |
| Author: | Rupert Overall |
| Maintainer: | Rupert Overall <rtrack at rupertoverall.net> |
| BugReports: | https://github.com/rupertoverall/Rtrack/issues |
| License: | GPL-3 |
| URL: | https://rupertoverall.net/Rtrack/, https://github.com/rupertoverall/Rtrack |
| NeedsCompilation: | no |
| Citation: | Rtrack citation info |
| Materials: | README |
| CRAN checks: | Rtrack results |
| Reference manual: | Rtrack.pdf |
| Package source: | Rtrack_1.0.0.tar.gz |
| Windows binaries: | r-devel: Rtrack_1.0.0.zip, r-release: Rtrack_1.0.0.zip, r-oldrel: Rtrack_1.0.0.zip |
| macOS binaries: | r-release: Rtrack_1.0.0.tgz, r-oldrel: Rtrack_1.0.0.tgz |
| Old sources: | Rtrack archive |
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