| confusion {causalDisco} | R Documentation |
Compute confusion matrix for comparing two adjacency matrices
Description
Two adjacency matrices are compared either in terms of adjacencies
(type = "adj") or orientations (type = "dir").
Usage
confusion(est_amat, true_amat, type = "adj")
Arguments
est_amat |
The estimated adjacency matrix |
true_amat |
The true adjacency matrix |
type |
String indicating whether the confusion matrix should be computed for adjacencies
( |
Details
In the former case, the confusion matrix is a cross-tabulation of adjacencies.
In the latter case, the orientation confusion matrix is conditional on agreement on adjacency. This means that only adjacencies that are shared in both input matrices are considered, and agreement wrt. orientation is then computed only among these edges that occur in both matrices. A true positive is a correctly placed arrowhead (1), a false positive marks placement of arrowhead (1) where there should have been a tail (0), a false negative marks placement of tail (0) where there should have been an arrowhead (1), and a true negative marks correct placement of a tail (0).
Value
A list with entries $tp (number of true positives), $tn (number of true negatives),
$fp (number of false positives), and $tp (number of false negatives).