Estimates predictive states from spatio-temporal data and consequently can provide provably optimal forecasts. Currently this implementation supports an N-dimensional spatial grid observed over equally spaced time intervals. E.g. a video is a 2D spatial systems observed over time. This package implements mixed LICORS, has plotting tools (for (1+1)D and (2+1)D systems), and methods for optimal forecasting. Due to memory limitations it is recommend to only analyze (1+1)D systems.
| Version: | 0.2.0 |
| Depends: | R (≥ 2.12.1) |
| Imports: | RColorBrewer, mvtnorm, zoo, FNN, fields, locfit, Matrix |
| Suggests: | huge, RANN, yaImpute, itertools |
| Published: | 2013-11-26 |
| Author: | Georg M. Goerg |
| Maintainer: | Georg M. Goerg <gmg at stat.cmu.edu> |
| License: | GPL-2 |
| URL: | http://www.stat.cmu.edu/~gmg |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | LICORS results |
| Reference manual: | LICORS.pdf |
| Package source: | LICORS_0.2.0.tar.gz |
| Windows binaries: | r-devel: LICORS_0.2.0.zip, r-release: LICORS_0.2.0.zip, r-oldrel: LICORS_0.2.0.zip |
| OS X Snow Leopard binaries: | r-release: LICORS_0.2.0.tgz, r-oldrel: LICORS_0.2.0.tgz |
| OS X Mavericks binaries: | r-release: LICORS_0.2.0.tgz |
| Old sources: | LICORS archive |
| Reverse depends: | LSC |
| Reverse suggests: | kselection |