plot.tpdag

Plot temporal partially directed acyclic graph (TPDAG)

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

plot.tpdag function

<dl><dt>x</dt>
<dd>tpdag (temporal partially directed acyclic graph) object
to be plotted (as outputted from <code>tpc</code>).</dd>
<dt>...</dt>
<dd>Further plotting arguments passed along to <code>plotTempoMech</code>.</dd></dl>

Arguments

Plot temporal partially directed acyclic graph (TPDAG) — plot.tpdag

<dl>

<dt>x</dt>
<dd>tpdag (temporal partially directed acyclic graph) object
to be plotted (as outputted from <code>tpc</code>).</dd>


<dt>...</dt>
<dd>Further plotting arguments passed along to <code>plotTempoMech</code>.</dd>

</dl>

plot.tpdag: Plot temporal partially directed acyclic graph (TPDAG)

Description

Usage

Value

Arguments