Description Usage Arguments Value
View source: R/mutual_information_matrix.R
Calculates the mutual information between the probability distributions of the (binned) values of the time series of pairs of nodes. First, the mutual information is computed between each pair of vertices. Then, a thresholding condition is applied to obtain edges. The results dictionary also stores the weight matrix as ''weights_matrix'' and the thresholded version of the weight matrix as ''thresholded_matrix''.
1 | mutual_information_matrix_fit(TS, nbins = 10, threshold_type = "degree", ...)
|
TS |
Matrix consisting of :math:'L' observations from :math:'N' sensors. |
nbins |
number of bins for the pre-processing step (to yield a discrete probability distribution) |
threshold_type |
Which thresholding function to use on the matrix of weights. |
... |
arguments |
A reconstructed graph with :math:'N' nodes.
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