make_parameters_df

function to make a parameters_df from nodal 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

make_parameters_df function

<dl><dt>nodal_types</dt>
<dd>a list of nodal types</dd></dl>

Arguments

function to make a parameters_df from nodal types — make_parameters_df

<dl>

<dt>nodal_types</dt>
<dd>a list of nodal types</dd>

</dl>

function to make a parameters_df from nodal types

make_parameters_df: function to make a parameters_df from nodal types

Description

Usage

Arguments

Examples