average_degree

Computes the average degree, i.e. the number of edges divided
by the number of nodes.

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

average_degree function

<dl><dt>amat</dt>
<dd>An adjacency matrix</dd></dl>

Arguments

Compute average degree for adjacency matrix — average_degree

<dl>

<dt>amat</dt>
<dd>An adjacency matrix</dd>

</dl>

average_degree: Compute average degree for adjacency matrix

Description

Usage

Value

Arguments