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:
Downloads:
Reverse dependencies:
Reverse imports: |
causalPAF, CausalQueries, dagwood, episensr, ggdag, midoc, SEMgraph |
Reverse suggests: |
cfid, dagR, dce, dosearch, mvGPS, pcalg, performance, tidySEM |
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