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.
| Version: |
0.1.1 |
| Depends: |
R (≥ 2.12.1), itertools |
| Imports: |
RColorBrewer, mvtnorm, zoo, FNN, itertools, fields, locfit, gam |
| Suggests: |
huge, locfit, RANN, yaImpute |
| Published: |
2012-11-13 |
| 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 |
| CRAN checks: |
LICORS results |