print.causal_model

print method for class "<code>causal_model</code>".

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

print.causal_model function

<dl><dt>x</dt>
<dd>An object of <code>causal_model</code> class, usually a result of
a call to <code>make_model</code> or <code>update_model</code>.</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

Print a short summary for a causal model — print.causal_model

<dl>

<dt>x</dt>
<dd>An object of <code>causal_model</code> class, usually a result of
a call to <code>make_model</code> or <code>update_model</code>.</dd>


<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd>

</dl>

Print a short summary for a causal model

print.causal_model: Print a short summary for a causal model

Description

Usage

Arguments

Details