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>).">

CausalQueries: Make, Update, and Query Binary Causal Models (original) (raw)

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: 1.1.1
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 (≥ 2.26.0), rstantools (≥ 2.0.0), stringr (≥ 1.4.0), ggdag (≥ 0.2.4), latex2exp (≥ 0.9.4), knitr (≥ 1.45), ggplot2 (≥ 3.3.5), lifecycle (≥ 1.0.1)
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppArmadillo, RcppEigen (≥ 0.3.3.3.0), rstan (≥ 2.26.0), StanHeaders (≥ 2.26.0)
Suggests: testthat, rmarkdown, DeclareDesign, fabricatr, bayesplot, covr
Published: 2024-04-26
DOI: 10.32614/CRAN.package.CausalQueries
Author: Clara Bicalho [ctb], Jasper Cooper [ctb], Macartan HumphreysORCID iD [aut], Till Tietz ORCID iD [aut, cre], Alan Jacobs [aut], Merlin Heidemanns [ctb], Lily Medina ORCID iD [aut], Julio Solis [ctb], Georgiy Syunyaev ORCID iD [aut]
Maintainer: Till Tietz
BugReports: https://github.com/integrated-inferences/CausalQueries/issues
License: MIT + file
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README NEWS
In views: CausalInference
CRAN checks: CausalQueries results

Documentation:

Downloads:

Reverse dependencies:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=CausalQueriesto link to this page.