graphical_model_errors: Calculate errors in estimating edges of a graphical model

In jesusdaniel/rBipartiteUnipartiteMatch: Graph Matching between Bipartite and Unipartite Networks

Description

This function reports the false positive rate, false negative rate, and proportion of errors for estimating the edges of a graphical model.

Usage

graphical_model_errors(Theta, A, Q = diag(ncol(A)))

Arguments

Theta	A matrix where non-zeros indicate edges.
A	Adjacency matrix of the graphical model
Q	Alignment permutation matrix between A and Theta. The default is the identity matrix.

Value

False positive rate (FPR), false negative rate (FNR) and total support error.

jesusdaniel/rBipartiteUnipartiteMatch documentation built on Dec. 20, 2021, 11:06 p.m.