showAmat

an <span style="R">R</span> object of class <code>pcAlgo</code>, as returned
    from <code><a rd-options="" href="/link/skeleton?package=pcalg&version=2.2-4" data-mini-rdoc="pcalg::skeleton">skeleton</a>()</code> or <code><a rd-options="" href="/link/pc?package=pcalg&version=2.2-4" data-mini-rdoc="pcalg::pc">pc</a>()</code>.

object


  Show the  adjacency matrix of a <code>"pcAlgo"</code> object; this is
  intended to be an alternative if the <span class="pkg">Rgraphviz</span> package does not work.


hplot

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) and the Generalized Adjustment Criterion (GAC)
are implemented.

showAmat: Show Adjacency Matrix of pcAlgo object

Description

Usage

Arguments

Value

See Also