View source: R/graphical_lasso.R
Graph reconstruction algorithm.
1 2 3 4 5 6 7 8 | graphical_lasso_fit(
TS,
alpha = 0.01,
max_iter = 100,
tol = 1e-04,
threshold_type = "degree",
...
)
|
TS |
Matrix consisting of L observations from N variables. |
alpha |
Coefficient of penalization, higher values means more sparseness |
max_iter |
Maximum number of iterations. |
tol |
Stop the algorithm when the duality gap is below a certain threshold. |
threshold_type |
Which thresholding function to use on the matrix of weights. |
... |
Arguments |
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