rate: Inference Validation
In netbenchmark: Benchmarking of several gene network inference methods

Description Usage Arguments Value Author(s) See Also Examples

rate compares the infered network to the true underlying network for all the sorted predictions provided and appends the resulting confusion matrices to the returned object.

1	rate(PredEdgeList, GSEdgeList, ngenes, sym)

`PredEdgeList`	The inferred network in the form of a EdgeList.
`GSEdgeList`	The true underlying in the form of a EdgeList.
`ngenes`	Integrer denoting the number of total genes in the network.
`sym`	Logical specifying if the evaluation is symmetric (default: TRUE) - see `evaluate`.

A matrix of numerics with the contingency table for each link in PredEdgeList.

Pau Bellot

netbenchmark, evaluate, comp.metr

    # Data
    net <- matrix(0,10,10)
    net[sample(1:100,20)] <- 1
    # Simulated Inference
    inf <- net+matrix(rnorm(100,sd=0.5),10,10)
    table <- evaluate(inf,net)