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
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, CausalQueries, dagwood, episensr, ggdag, SEMgraph
Reverse suggests:	cfid, dagR, dce, dosearch, mvGPS, pcalg, tidySEM

Linking:

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