LICORS : Light Cone Reconstruction of States - Predictive State Estimation From Spatio-Temporal Data

Package: LICORS
Type: Package
Title: Light Cone Reconstruction of States - Predictive State
Estimation From Spatio-Temporal Data
Version: 0.2.0
Date: 2013-11-20
Author: Georg M. Goerg <gmg@stat.cmu.edu>
Maintainer: Georg M. Goerg <gmg@stat.cmu.edu>
Description: 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.
License: GPL-2
Depends: R (>= 2.12.1)
Imports: RColorBrewer, mvtnorm, zoo, FNN, fields, locfit, Matrix
Suggests: huge, RANN, yaImpute, itertools
URL: http://www.stat.cmu.edu/~gmg
Collate: 'compute_LICORS_loglik.R' 'compute_mixture_penalty.R'
'compute_NEC.R' 'contCA00.R' 'data2LCs.R' 'estimate_LC_pdfs.R'
'estimate_state_adj_matrix.R' 'estimate_state_probs.R'
'get_LC_config.R' 'image2.R' 'initialize_states.R' 'kmeanspp.R'
'LC-utils.R' 'LICORS-package.R' 'merge_states.R'
'mixed_LICORS.R' 'normalize.R' 'predict_FLC_given_PLC.R'
'rdensity.R' 'relabel_vector.R' 'remove_small_sample_states.R'
'search_knn.R' 'setup_LC_geometry.R' 'sparsify_weights.R'
'states2weight_matrix.R' 'threshold.R' 'weight_matrix2states.R'
'wKDE.R' 'mixed_LICORS-utils.R' 'compute_LC_coordinates.R'
'compute_margin_coordinates.R' 'get_spacetime_grid.R'
'embed2.R'
Packaged: 2013-11-26 03:40:17 UTC; root
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-11-26 07:39:36