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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.

copied from cf-staging / r-licors
Type Size Name Uploaded Downloads Labels
conda 404.7 kB | noarch/r-licors-0.2.0-r44hc72bb7e_3.conda  4 months and 7 days ago 299 main
conda 400.1 kB | noarch/r-licors-0.2.0-r43hc72bb7e_3.conda  4 months and 7 days ago 306 main
conda 399.6 kB | noarch/r-licors-0.2.0-r43hc72bb7e_2.conda  1 year and 8 months ago 1084 main
conda 399.6 kB | noarch/r-licors-0.2.0-r42hc72bb7e_2.conda  1 year and 8 months ago 1018 main
conda 406.1 kB | noarch/r-licors-0.2.0-r41hc72bb7e_1.tar.bz2  2 years and 4 months ago 1425 main
conda 406.2 kB | noarch/r-licors-0.2.0-r42hc72bb7e_1.tar.bz2  2 years and 4 months ago 1459 main
conda 405.0 kB | noarch/r-licors-0.2.0-r40hc72bb7e_0.tar.bz2  3 years and 4 months ago 2039 main
conda 405.1 kB | noarch/r-licors-0.2.0-r41hc72bb7e_0.tar.bz2  3 years and 4 months ago 2115 main

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