Estimate local statistical complexity (LSC) from states
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
1 
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: 
type 
estimation type for the probabilities:

See Also
states2probs