dagitty: Graphical Analysis of Structural Causal Models

A port of the web-based software 'DAGitty', available at <http://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: 0.3-1
Depends: R (≥ 3.0.0)
Imports: V8, jsonlite, boot, MASS, methods, grDevices, stats, utils, graphics
Suggests: knitr, base64enc (≥ 0.1-3), testthat, markdown, rmarkdown, lavaan
Published: 2021-01-21
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: http://www.dagitty.net, https://github.com/jtextor/dagitty
NeedsCompilation: no
Citation: dagitty citation info
Materials: NEWS
In views: CausalInference
CRAN checks: dagitty results


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


Package source: dagitty_0.3-1.tar.gz
Windows binaries: r-devel: dagitty_0.3-1.zip, r-release: dagitty_0.3-1.zip, r-oldrel: dagitty_0.3-1.zip
macOS binaries: r-release (arm64): dagitty_0.3-1.tgz, r-oldrel (arm64): dagitty_0.3-1.tgz, r-release (x86_64): dagitty_0.3-1.tgz, r-oldrel (x86_64): dagitty_0.3-1.tgz
Old sources: dagitty archive

Reverse dependencies:

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


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