corTest

This function simply calls the <code>gaussCItest</code>
function from the <code>pcalg</code> package.

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

corTest function

<dl><dt>x</dt>
<dd>Index of x variable</dd>
<dt>y</dt>
<dd>Index of y variable</dd>
<dt>S</dt>
<dd>Index of S variable(s), possibly NULL</dd>
<dt>suffStat</dt>
<dd>Sufficient statistic; list with data,
binary variables and order.</dd></dl>

Arguments

Test for vanishing partial correlations — corTest

<dl>

<dt>x</dt>
<dd>Index of x variable</dd>


<dt>y</dt>
<dd>Index of y variable</dd>


<dt>S</dt>
<dd>Index of S variable(s), possibly NULL</dd>


<dt>suffStat</dt>
<dd>Sufficient statistic; list with data,
binary variables and order.</dd>

</dl>

corTest: Test for vanishing partial correlations

Description

Usage

Value

Arguments