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>).

Version: 0.0.3
Depends: dplyr, methods, R (≥ 3.4.0), Rcpp (≥ 0.12.0)
Imports: dagitty, gtools, stats, randomizr, rlang (≥ 0.2.0), rstan (≥ 2.18.1), rstantools (≥ 2.0.0), stringr
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥, rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: testthat, rmarkdown, knitr, DeclareDesign, covr
Published: 2020-06-03
Author: 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]
Maintainer: Lily Medina <lilymiru at>
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README
CRAN checks: CausalQueries results


Reference manual: CausalQueries.pdf
Package source: CausalQueries_0.0.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: CausalQueries_0.0.3.tgz, r-oldrel: CausalQueries_0.0.3.tgz


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