get_estimands

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

get_estimands function

<dl><dt>jobs</dt>
<dd>a data frame of argument combinations</dd>
<dt>given_types</dt>
<dd>output from <code>queries_to_types</code></dd>
<dt>query_types</dt>
<dd>output from <code>queries_to_types</code></dd>
<dt>type_distributions</dt>
<dd>output from <code>get_type_distributions</code></dd></dl>

Arguments

helper to get estimands — get_estimands

<dl>

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


<dt>given_types</dt>
<dd>output from <code>queries_to_types</code></dd>


<dt>query_types</dt>
<dd>output from <code>queries_to_types</code></dd>


<dt>type_distributions</dt>
<dd>output from <code>get_type_distributions</code></dd>

</dl>

helper to get estimands

get_estimands: helper to get estimands

Description

Usage

Value

Arguments