Description Usage Arguments Examples
This function allows you to learn an adjacency matrix from a dataset using the Linear NO-TEARS algorithm.
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df |
Dataset. |
lambda1 |
L1 regularization parameter. Default: 0.1 |
loss.type |
Type of loss function to be used: 'l2', 'logistic', or 'poisson'. Default: 'l2' |
max.iter |
Maximum number of dual ascent steps. Default: 100 |
h.tol |
Minimum absolute value of h. Default: 1e-8 |
rho.max |
Maximum value of rho. Default: 1e+16 |
w.threshold |
Threshold of absolute value of weight. Default: 0.1 |
m |
Size of training set (optional). Default: nrow(df)/2 |
to |
Output format ('adjacency', 'edges', 'graph', 'igraph', or 'bnlearn') (optional). |
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