queries_to_types

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

queries_to_types function

<dl><dt>jobs</dt>
<dd>a data frame of argument combinations</dd>
<dt>model</dt>
<dd>a list of models</dd>
<dt>query_col</dt>
<dd>string specifying the name of the column in jobs
holding queries to be evaluated</dd>
<dt>realisations</dt>
<dd>list of data frame outputs from calls
to <code>realise_outcomes</code></dd></dl>

Arguments

helper to get types from queries — queries_to_types

<dl>

<dt>jobs</dt>
<dd>a data frame of argument combinations</dd>


<dt>model</dt>
<dd>a list of models</dd>


<dt>query_col</dt>
<dd>string specifying the name of the column in jobs
holding queries to be evaluated</dd>


<dt>realisations</dt>
<dd>list of data frame outputs from calls
to <code>realise_outcomes</code></dd>

</dl>

helper to get types from queries

queries_to_types: helper to get types from queries

Description

Usage

Value

Arguments