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: 0.1.1
Depends: dplyr, methods, R (≥ 3.4.0), Rcpp (≥ 0.12.0)
Imports: dagitty (≥ 0.3-1), dirmult (≥ 0.1.3-4), stats (≥ 4.1.1), rlang (≥ 0.2.0), rstan (≥ 2.18.1), rstantools (≥ 2.0.0), stringr (≥ 1.4.0), ggdag (≥ 0.2.4), latex2exp (≥ 0.9.4), ggplot2 (≥ 3.3.5), lifecycle (≥ 1.0.1)
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppArmadillo, RcppEigen (≥, rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: testthat, rmarkdown, knitr, DeclareDesign, covr
Published: 2023-08-29
Author: Clara 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]
Maintainer: Till Tietz <ttietz2014 at>
License: MIT + file LICENSE
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
In views: CausalInference
CRAN checks: CausalQueries results


Reference manual: CausalQueries.pdf


Package source: CausalQueries_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): CausalQueries_0.1.1.tgz, r-oldrel (arm64): CausalQueries_0.1.1.tgz, r-release (x86_64): CausalQueries_0.1.1.tgz, r-oldrel (x86_64): CausalQueries_0.1.1.tgz
Old sources: CausalQueries archive

Reverse dependencies:

Reverse suggests: rdss


Please use the canonical form to link to this page.