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: | 0.9.3 |
Depends: | R (≥ 2.10) |
Imports: | crayon, graphics, grDevices, KernSmooth, methods, openxlsx, parallel, pbapply, randomForest, raster, readxl, rgeos, rjson, sp, stats, tools, utils |
Suggests: | knitr, rmarkdown |
Published: | 2019-11-06 |
Author: | Rupert Overall |
Maintainer: | Rupert Overall <rtrack at rupertoverall.net> |
BugReports: | https://github.com/rupertoverall/Rtrack/issues |
License: | GPL-3 |
URL: | http://rupertoverall.net/Rtrack/, https://github.com/rupertoverall/Rtrack |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | Rtrack results |
Reference manual: | Rtrack.pdf |
Package source: | Rtrack_0.9.3.tar.gz |
Windows binaries: | r-devel: Rtrack_0.9.3.zip, r-devel-gcc8: Rtrack_0.9.3.zip, r-release: Rtrack_0.9.3.zip, r-oldrel: Rtrack_0.9.3.zip |
OS X binaries: | r-release: Rtrack_0.9.3.tgz, r-oldrel: Rtrack_0.9.3.tgz |
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