LC-utils                Utilities for LC class
LICORS-package          Light Cone Reconstruction of States -
                        Predictive State Estimation From
                        Spatio-Temporal Data
compute_LC_coordinates
                        Computes coordinates of PLC and FLC relative to
                        origin
compute_LICORS_loglik   Log-likelihood of LICORS model
compute_NEC             Compute Negative Entropy Criterion (NEC)
compute_margin_coordinates
                        Get LC configuration from a (N+1)D field
compute_mixture_penalty
                        Penalty of mixture weights
contCA00                Simulated 7 state (1+1)D field
data2LCs                Iterate over (N+1)D field and get all LC
                        configurations
embed2                  Improved embed() function
estimate_LC_pdfs        Estimate PLC/FLC distributions for all states
estimate_state_adj_matrix
                        Estimate adjacency matrix for equivalent FLC
                        distributions based on states
estimate_state_probs    Estimate conditional/marginal state
                        probabilities
get_LC_config           Get configuration of a light cone (LC)
get_spacetime_grid      Get an iterator over the space-time coordinates
                        of the field.
image2                  Improved image() function
initialize_states       State initialization for iterative algorithms
                        (randomly or variants of kmeans)
kmeanspp                Kmeans++
merge_states            Merge several states into one
mixed_LICORS            Mixed LICORS: An EM-like Algorithm for
                        Predictive State Space Estimation
mixed_LICORS-utils      Utilities for "LICORS" class
normalize               Normalize a matrix/vector to sum to one
                        (probability simplex)
predict_FLC_given_PLC   Predict FLCs given new PLCs
rdensity                Generate random sample from density() or wKDE
relabel_vector          Relabels a vector to consecutive labels
remove_small_sample_states
                        Reassign low sample states to close states
search_knn              K nearest neighbor (KNN) search
setup_LC_geometry       Setup light cone geometry
sparsify_weights        Sparsify weights
states2weight_matrix    Converts label vector to 0/1 mixture weight
                        matrix
threshold               Threshold a matrix/vector below and above
wKDE                    Weighted kernel density estimator (wKDE)
weight_matrix2states    Returns unique state assignment from a
                        (row-wise) weight matrix
