A port of the web-based software 'DAGitty', available at
<http://dagitty.net>, for analyzing structural causal models
(also known as directed acyclic graphs or DAGs).
This package computes covariate adjustment sets for estimating causal
effects, enumerates instrumental variables, derives testable
implications (d-separation and vanishing tetrads), generates equivalent
models, and includes a simple facility for data simulation.

Graphical Analysis of Structural Causal Models

package-ubuntu-20.04-r-4.0.5#cran#dagitty-0.3-1

<p>Generates a random DAG with N variables called x1,...,xN. For each
pair of variables xi,xj with i&lt;j, an edge i-&gt;j will be present with
probability p.
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>N</code></td>
<td>
<p>desired number of variables.</p>
</td>
</tr>
<tr valign="top">
<td><code>p</code></td>
<td>
<p>connectivity parameter, a number between 0 and 1.</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#dagitty-0.3-1#docs#randomDAG

randomDAG

Description

Usage

Arguments

dagitty

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`N`	desired number of variables.
`p`	connectivity parameter, a number between 0 and 1.