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 [aut, cre] |
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 (arm64): Rtrack_1.0.0.tgz, r-oldrel (arm64): Rtrack_1.0.0.tgz, r-release (x86_64): Rtrack_1.0.0.tgz, r-oldrel (x86_64): Rtrack_1.0.0.tgz |
Old sources: | Rtrack archive |
Please use the canonical form https://CRAN.R-project.org/package=Rtrack to link to this page.