showEdgeList

an R object of class <code><a href="/link/?package=pcalg&version=2.7-1" pcalgo'="" data-mini-rdoc="pcalg::"></a>'>pcAlgo</code>, as returned
 from <code><a rd-options="" href="/link/skeleton?package=pcalg&version=2.7-1" data-mini-rdoc="pcalg::skeleton">skeleton</a>()</code> or <code><a rd-options="" href="/link/pc?package=pcalg&version=2.7-1" data-mini-rdoc="pcalg::pc">pc</a>()</code>.

object

optional labels for nodes; by default, the labels from
 the <code>object</code> are used.

labels

Show the list of edges (of the graph) of a pcAlgo object; this is
 intended to be an alternative if Rgraphviz does not work.

graphs

Functions for causal structure
learning and causal inference using graphical models. The main algorithms
for causal structure learning are PC (for observational data without hidden
variables), FCI and RFCI (for observational data with hidden variables),
and GIES (for a mix of data from observational studies
(i.e. observational data) and data from experiments
involving interventions (i.e. interventional data) without hidden
variables). For causal inference the IDA algorithm, the Generalized
Backdoor Criterion (GBC), the Generalized Adjustment Criterion (GAC)
and some related functions are implemented. Functions for incorporating
background knowledge are provided.

Markus Kalisch

pcalg

Methods for Graphical Models and Causal Inference

Alain Hauser

Martin Maechler

Diego Colombo

Doris Entner

Patrik Hoyer

Antti Hyttinen

Jonas Peters

Nicoletta Andri

Emilija Perkovic

Preetam Nandy

Philipp Ruetimann

Daniel Stekhoven

Manuel Schuerch

Marco Eigenmann

Leonard Henckel

Joris Mooij

showEdgeList function

an R object of class <code><a href='<a href='pcAlgo'></a>'>pcAlgo</a></code>, as returned
 from <code><a rd-options='' href='skeleton'>skeleton</a>()</code> or <code><a rd-options='' href='pc'>pc</a>()</code>.

Show Edge List of pcAlgo object — showEdgeList

Show Edge List of pcAlgo object

showEdgeList: Show Edge List of pcAlgo object

Description

Usage

Arguments

Value

See Also