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.
1 
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:

states2probs
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