states2LSC: Estimate local statistical complexity (LSC) from states

In LSC: Local Statistical Complexity - Automatic Pattern Discovery in Spatio-Temporal Data

Description

Converts states (either as a size N array of labels or an N \times K weight matrix) into N local statistical complexities (LSC) per state.

If states is a matrix - representing the state space in the dimensions of the original data - then the LSC output will be formatted automatically to an array of the same shape and dimension.

Usage

states2LSC(weight.matrix = NULL, states = NULL, base = 2, type = c("MLE"))

Arguments

weight.matrix	N \times K weight matrix
states	array of size N with entry i being the label k = 1, …, K of PLC i.
base	logarithm base for complexity (entropy). Default: base = 2 (thus 'bits').
type	estimation type for the probabilities: "MLE"

See Also

states2probs

LSC documentation built on May 29, 2017, 5:28 p.m.

Utilities for LSC class

LSC index

Convert states to vector of probabilities of any given state