adjacency: Adjacency Precision and Recall

In tzimiskes/causality: Examine The Causal Structure of Data

Description

adjacency_precision calculates the adjacency precison between two causality graphs.

Usage

adjacency_precision(x, y)

adjacency_recall(x, y)

Arguments

x	A causality.graph
y	A causality.graph

Details

adjacency_recall calculates the adjacency recall between two causality graphs.

TODO(arix) explain what they do

Value

Both adjacency_precision and adjacency_recall return a numeric between 0 and 1 with the following exceptions:

• adjacency_precision returns NA if y contains 0 adjacencies

• adjacency_recall returns NA if x contains 0 adjacencies

Author(s)

Alexander Rix

References

Joseph D. Ramsey: “Scaling up Greedy Causal Search for Continuous Variables ”, 2015; arxiv:1507.07749 [cs.AI]. TODO(arix) see what Spirtes calls these guys Spirtes et al: “Causation, Prediction, and Search.”, Mit Press, 2001, p. 109.

See Also

Other graph comparison statistics: arrowhead_precision, arrowhead_recall, and shd

Examples

TODO(arix)

tzimiskes/causality documentation built on Sept. 15, 2019, 8:41 p.m.