recall

Computes recall from a confusion matrix, see confusion.
Recall is defined as TP/(TP + FN), where TP are true positives and
FN are false negatives. If TP + FN = 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

recall function

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

Arguments

Recall — recall

<dl>

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

</dl>

recall: Recall

Description

Usage

Value

Arguments