CRAN/E | CausalQueries

CausalQueries

Make, Update, and Query Binary Causal Models

Installation

About

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).

System requirements GNU make
Bug report File report

Key Metrics

Version 1.1.0
R ≥ 3.4.0
Published 2024-04-10 9 days ago
Needs compilation? yes
License MIT
License File
CRAN checks CausalQueries results

Downloads

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Maintainer

Maintainer

Till Tietz

ttietz2014@gmail.com

Authors

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

aut

Material

README
NEWS
Reference manual
Package source

In Views

CausalInference

Vignettes

Through the front door
Getting Started
Inspecting posteriors

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

CausalQueries archive

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

Suggests

testthat
rmarkdown
DeclareDesign
fabricatr
bayesplot
covr

LinkingTo

BH ≥ 1.66.0
Rcpp ≥ 0.12.0
RcppArmadillo
RcppEigen ≥ 0.3.3.3.0
rstan ≥ 2.26.0
StanHeaders ≥ 2.26.0

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