Description Usage Arguments Value
View source: R/naive_transfer_entropy.R
Graph reconstruction algorithm Calculates the transfer entropy from i –> j. The resulting network is asymmetric
1 2 3 4 5 6 7 | naive_transfer_entropy_fit(
TS,
delay_max = 1,
n_bins = 2,
threshold_type = "range",
...
)
|
TS |
array consisting of L observations from N sensors. |
delay_max |
the number of timesteps in the past to aggregate and average in order to get TE_ij |
n_bins |
the number of bins to turn values in the time series to categorical data, which is a pre-processing step to compute entropy. |
threshold_type |
Which thresholding function to use on the matrix of weights. |
... |
arguments |
a reconstructed graph with N nodes.
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