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.

Documentation

Manual: LICORS.pdf
Vignette: None available.

Maintainer: Georg M. Goerg <gmg at stat.cmu.edu>

Author(s): Georg M. Goerg <gmg at stat.cmu.edu>

Install package and any missing dependencies by running this line in your R console:

install.packages("LICORS")

Depends R (>= 2.12.1)
Imports RColorBrewer, mvtnorm, zoo, FNN, fields, locfit, Matrix
Suggests huge, RANN, yaImpute, itertools
Enhances
Linking to
Reverse
depends
LSC
Reverse
imports
Reverse
suggests
kselection
Reverse
enhances
Reverse
linking to

Package LICORS
Materials
URL http://www.stat.cmu.edu/~gmg
Task Views
Version 0.2.0
Published 2013-11-26
License GPL-2
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks LICORS check results
Package source LICORS_0.2.0.tar.gz