states2LSC: Estimate local statistical complexity (LSC) from states
In LSC: Local Statistical Complexity - Automatic Pattern Discovery in Spatio-Temporal Data
Description
Usage
Arguments
See Also
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: base = 2 (thus 'bits').
type
estimation type for the probabilities:
"MLE"
See Also
LSC documentation built on May 2, 2019, 3:45 a.m.
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Description Usage Arguments See Also
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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