Computes false discovery rate from a confusion matrix, see confusion.
False discovery rate is defined as FP/(FP + TP), where FP are false positives and
TP are true positives. If FP + TP = 0, 0 is returned.

Various tools for inferring causal models from observational data. The package
includes an implementation of the temporal Peter-Clark (TPC) algorithm. Petersen, Osler
and Ekstrøm (2021) <doi:10.1093/aje/kwab087>. It also includes general tools
for evaluating differences in adjacency matrices, which can be used for evaluating
performance of causal discovery procedures.

Bjarke Hautop Kristensen

causalDisco

Tools for Causal Discovery on Observational Data

Anne Helby Petersen

Tobias Ellegaard Larsen

Claus Thorn Ekstrøm

FDR function

<dl><dt>confusion</dt>
<dd>Confusion matrix as obtained from confusion</dd></dl>

Arguments

False Discovery Rate — FDR

<dl>

<dt>confusion</dt>
<dd>Confusion matrix as obtained from confusion</dd>

</dl>

FDR: False Discovery Rate

Description

Usage

Value

Arguments