clean_statement

Helper to clean and check the validity of causal statements specifying a DAG.
This function isolates nodes and edges specified in a causal statements and
makes them processable by <code>make_dag</code>

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

clean_statement function

<dl><dt>statement</dt>
<dd>character string. Statement describing causal
relations between nodes.</dd></dl>

Arguments

Helper to clean and check the validity of causal statements specifying a DAG.
This function isolates nodes and edges specified in a causal statements and
makes them processable by make_dag — clean_statement

<dl>

<dt>statement</dt>
<dd>character string. Statement describing causal
relations between nodes.</dd>

</dl>

Helper to clean and check the validity of causal statements specifying a DAG.
This function isolates nodes and edges specified in a causal statements and
makes them processable by <code>make_dag</code>

clean_statement: Helper to clean and check the validity of causal statements specifying a DAG. This function isolates nodes and edges specified in a causal statements and makes them processable by `make_dag`

Description

Usage

Value

Arguments