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>Given a DAG, possibly with latent variables, construct a MAG that represents its
marginal independence model.
</p>

<table summary="R argblock"><tr valign="top">
<td><code>x</code></td>
<td>
<p>the input graph, a DAG</p>
</td>
</tr></table>

toMAG( "dag { ParentalSmoking->Smoking 
  { Profession [latent] } -> {Income->Smoking}
  Genotype -> {Smoking->LungCancer} }")

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

toMAG

Description

Usage

Arguments

Examples

dagitty

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