states2LSC

weight.matrix

array of size $N$ with entry $i$
  being the label $k = 1, \ldots, K$ of PLC $i$.

states

logarithm base for complexity (entropy).
  Default: <code>base = 2</code> (thus 'bits').

base

estimation type for the probabilities:
  <code>"MLE"</code>

type


  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.<p></p><p>  If <code>states</code> 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.
</p>

manip

Estimators and visualization for local statistical complexity of
(N+1)D fields. In particular for 0, 1 and 2 dimensional space this package
provides useful visualization.

states2LSC: Estimate local statistical complexity (LSC) from states

Description

Usage

Arguments

See Also