CausalQueries: Make, Update, and Query Binary Causal Models

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>).

Package details

AuthorClara Bicalho [ctb], Jasper Cooper [ctb], Macartan Humphreys [aut], Till Tietz [aut, cre], Alan Jacobs [aut], Merlin Heidemanns [ctb], Lily Medina [aut], Julio Solis [ctb], Georgiy Syunyaev [ctb]
MaintainerTill Tietz <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the CausalQueries package in your browser

Any scripts or data that you put into this service are public.

CausalQueries documentation built on June 28, 2022, 1:05 a.m.