construct_commands_alter_at

helper to generate filter commands specifying rows of parameters_df that
should be altered given an alter_at statement

internal

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

construct_commands_alter_at function

<dl><dt>alter_at</dt>
<dd>string specifying filtering operations to be applied to
parameters_df, yielding a logical vector indicating parameters for which
values should be altered.</dd></dl>

Arguments

make_par_values — construct_commands_alter_at

<dl>

<dt>alter_at</dt>
<dd>string specifying filtering operations to be applied to
parameters_df, yielding a logical vector indicating parameters for which
values should be altered.</dd>

</dl>

make_par_values

construct_commands_alter_at: make_par_values

Description

Usage

Value

Arguments