add_wildcard

Adds a wildcard for every missing parent

internal

Users can declare binary causal models, update beliefs about causal types given data and calculate arbitrary estimands. Model definition makes use of 'dagitty' functionality. Updating is implemented in 'stan'. The approach used in 'CausalQueries' is a generalization of the 'biqq' models described in "Mixing Methods: A Bayesian Approach" (Humphreys and Jacobs, 2015, <DOI:10.1017/S0003055415000453>). The conceptual extension makes use of work on probabilistic causal models described in Pearl's Causality (Pearl, 2009, <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

add_wildcard function

<dl><dt>node</dt>
<dd>A character string. The quoted name of a node.</dd>
<dt>statement</dt>
<dd>A character string. A quoted causal statement.</dd>
<dt>parents</dt>
<dd>A vector of characters. The <code>node</code>'s parents</dd>
<dt>missing_parents</dt>
<dd>A vector of characters. The <code>node</code>'s
missing parents</dd></dl>

Arguments

Adds a wildcard for every missing parent — add_wildcard

<dl>

<dt>node</dt>
<dd>A character string. The quoted name of a node.</dd>


<dt>statement</dt>
<dd>A character string. A quoted causal statement.</dd>


<dt>parents</dt>
<dd>A vector of characters. The <code>node</code>'s parents</dd>


<dt>missing_parents</dt>
<dd>A vector of characters. The <code>node</code>'s
missing parents</dd>

</dl>

Adds a wildcard for every missing parent

add_wildcard: Adds a wildcard for every missing parent

Description

Usage

Value

Arguments