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, ). The conceptual extension makes use of work on probabilistic causal models described in Pearl's Causality (Pearl, 2009, ).


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install.packages("CausalQueries")

0.0.3 by Lily Medina, 4 months ago


Browse source code at https://github.com/cran/CausalQueries


Authors: Clara Bicalho [ctb] , Jasper Cooper [ctb] , Macartan Humphreys [aut] , Alan Jacobs [aut] , Merlin Heidemanns [ctb] , Lily Medina [aut, cre] , Julio Solis [ctb] , Georgiy Syunyaev [ctb]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dagitty, gtools, stats, randomizr, rlang, rstan, rstantools, stringr

Depends on dplyr, methods, Rcpp

Suggests testthat, rmarkdown, knitr, DeclareDesign, covr

Linking to BH, Rcpp, RcppEigen, rstan, StanHeaders

System requirements: GNU make


See at CRAN