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dagitty: Graphical Analysis of Structural Causal Models

A port of the web-based software 'DAGitty', available at <https://dagitty.net>, for analyzing structural causal models (also known as directed acyclic graphs or DAGs). This package computes covariate adjustment sets for estimating causal effects, enumerates instrumental variables, derives testable implications (d-separation and vanishing tetrads), generates equivalent models, and includes a simple facility for data simulation.

Version: 0.3-4
Depends: R (≥ 3.0.0)
Imports: V8, jsonlite, boot, MASS, methods, grDevices, stats, utils, graphics
Suggests: igraph, knitr, base64enc (≥ 0.1-3), testthat, markdown, rmarkdown, lavaan, CCP, fastDummies
Published: 2023-12-07
DOI: 10.32614/CRAN.package.dagitty
Author: Johannes Textor, Benito van der Zander, Ankur Ankan
Maintainer: Johannes Textor <johannes.textor at gmx.de>
BugReports: https://github.com/jtextor/dagitty/issues
License: GPL-2
URL: https://www.dagitty.net, https://github.com/jtextor/dagitty
NeedsCompilation: no
Citation: dagitty citation info
Materials: NEWS
In views: CausalInference
CRAN checks: dagitty results

Documentation:

Reference manual: dagitty.pdf
Vignettes: A SEM user's guide to dagitty for R

Downloads:

Package source: dagitty_0.3-4.tar.gz
Windows binaries: r-devel: dagitty_0.3-4.zip, r-release: dagitty_0.3-4.zip, r-oldrel: dagitty_0.3-4.zip
macOS binaries: r-release (arm64): dagitty_0.3-4.tgz, r-oldrel (arm64): dagitty_0.3-4.tgz, r-release (x86_64): dagitty_0.3-4.tgz, r-oldrel (x86_64): dagitty_0.3-4.tgz
Old sources: dagitty archive

Reverse dependencies:

Reverse imports: causalPAF, dagwood, epicmodel, episensr, ggdag, midoc, SEMgraph
Reverse suggests: cfid, dagR, dce, dosearch, mvGPS, pcalg, performance, tidySEM

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dagitty to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.