make_dag

Helper to run a causal statement specifying a DAG into a <code>data.frame</code> of
pairwise parent child relations between nodes specified by a respective edge.

internal

Users can declare causal models over binary nodes, update beliefs about causal types given data, and calculate arbitrary queries. Updating is implemented in 'stan'. See Humphreys and Jacobs, 2023, Integrated Inferences (<DOI: 10.1017/9781316718636>) and Pearl, 2009 Causality (<DOI:10.1017/CBO9780511803161>).

Till Tietz

CausalQueries

Make, Update, and Query Binary Causal Models

Clara Bicalho

Jasper Cooper

Macartan Humphreys

Alan Jacobs

Merlin Heidemanns

Lily Medina

Julio Solis

Georgiy Syunyaev

make_dag function

<dl><dt>statement</dt>
<dd>character string. Statement describing causal
relations between nodes. Only directed relations are
permitted. For instance "X -&gt; Y" or "X1 -&gt; Y &lt;- X2; X1 -&gt; X2"</dd></dl>

Arguments

Helper to run a causal statement specifying a DAG into a data.frame of
pairwise parent child relations between nodes specified by a respective edge. — make_dag

<dl>

<dt>statement</dt>
<dd>character string. Statement describing causal
relations between nodes. Only directed relations are
permitted. For instance "X -&gt; Y" or "X1 -&gt; Y &lt;- X2; X1 -&gt; X2"</dd>

</dl>

Helper to run a causal statement specifying a DAG into a <code>data.frame</code> of
pairwise parent child relations between nodes specified by a respective edge.

make_dag: Helper to run a causal statement specifying a DAG into a `data.frame` of pairwise parent child relations between nodes specified by a respective edge.

Description

Usage

Value

Arguments