get_parameter_names

Parameter names taken from <code>P</code> matrix or model if no
<code>P</code> matrix provided

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

get_parameter_names function

<dl><dt>model</dt>
<dd>A <code>causal_model</code>. A model object generated by
<code>make_model</code>.</dd>
<dt>include_paramset</dt>
<dd>Logical. Whether to include the param set
prefix as part of the name.</dd></dl>

Arguments

Get parameter names — get_parameter_names

<dl>

<dt>model</dt>
<dd>A <code>causal_model</code>. A model object generated by
<code>make_model</code>.</dd>


<dt>include_paramset</dt>
<dd>Logical. Whether to include the param set
prefix as part of the name.</dd>

</dl>

Get parameter names

get_parameter_names: Get parameter names

Description

Usage

Value

Arguments

Examples