Package: dagitty 0.3-4

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.

Authors:Johannes Textor, Benito van der Zander, Ankur Ankan

dagitty_0.3-4.tar.gz
dagitty_0.3-4.zip(r-4.7-any)dagitty_0.3-4.zip(r-4.6-any)dagitty_0.3-4.zip(r-4.5-any)
dagitty_0.3-4.tgz(r-4.6-any)dagitty_0.3-4.tgz(r-4.5-any)
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dagitty_0.3-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dagitty/json (API)

# Install 'dagitty' in R:

install.packages('dagitty', repos = c('https://jtextor.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jtextor/dagitty/issues

On CRAN:

13.26 score 351 stars 18 packages 2.8k scripts 14k downloads 8 mentions 60 exports 6 dependencies

Last updated from:92dcf5f348. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	153
source / vignettes	OK	243
linux-release	OK	181
macos-release	OK	144
macos-oldrel	OK	135
windows-devel	OK	93
windows-release	OK	88
windows-oldrel	OK	95
wasm-release	OK	95

Exports:adjacentNodes adjustedNodes adjustedNodes<-adjustmentSets ancestorGraph ancestors as.dagitty backDoorGraph canonicalize children ciTest completeDAG convert coordinates coordinates<-dagitty dconnected descendants downloadGraph dseparated edges equivalenceClass equivalentDAGs exogenousVariables exposures exposures<-findCycle getExample graphLayout graphType impliedConditionalIndependencies impliedCovarianceMatrix instrumentalVariables is.dagitty isAcyclic isAdjustmentSet isCollider latents latents<-lavaanToGraph localTests markovBlanket measurementPart moralize neighbours orientPDAG outcomes outcomes<-parents paths plotLocalTestResults randomDAG setVariableStatus simulateLogistic simulateSEM spouses structuralPart toMAG topologicalOrdering vanishingTetrads

Dependencies:boot curl jsonlite MASS Rcpp V8

A SEM user's guide to dagitty for R

What is dagitty | List testable implications of a structural equation model | List adjustment sets for specific path coefficients | List path coefficients that are identifiable by regression | List adjustment sets for specific total effects | List total effects that are identifiable by regression | List path coefficients that are identifiable through instrumental variables

Rendered fromdagitty4semusers.Rmdusingknitr::rmarkdown

Last update: 2016-03-22
Started: 2016-03-11

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Covariate Adjustment Sets	adjustmentSets
Ancestor Graph	ancestorGraph
Ancestral Relations	adjacentNodes ancestors AncestralRelations children descendants markovBlanket neighbours parents spouses
Convert to DAGitty object	as.dagitty
Back-Door Graph	backDoorGraph
Canonicalize an Ancestral Graph	canonicalize
Generate Complete DAG	completeDAG
Convert from DAGitty object to other graph types	convert
Plot Coordinates of Variables in Graph	coordinates coordinates<-
Parse DAGitty Graph	dagitty
d-Separation	dconnected dseparated
Load Graph from dagitty.net	downloadGraph
Graph Edges	edges
Generating Equivalent Models	equivalenceClass equivalentDAGs EquivalentModels
Retrieve Exogenous Variables	exogenousVariables
Get Bundled Examples	getExample
Generate Graph Layout	graphLayout
Get Graph Type	graphType
List Implied Conditional Independencies	impliedConditionalIndependencies
Implied Covariance Matrix of a Gaussian Graphical Model	impliedCovarianceMatrix
Find Instrumental Variables	instrumentalVariables
Test for Graph Class	is.dagitty
Test for Cycles	findCycle isAcyclic
Adjustment Criterion	isAdjustmentSet
Test for Colliders	isCollider
Convert Lavaan Model to DAGitty Graph	lavaanToGraph
Test Graph against Data	ciTest localTests
Extract Measurement Part from Structural Equation Model	measurementPart
Moral Graph	moralize
Names of Variables in Graph	names.dagitty
Orient Edges in PDAG.	orientPDAG
Show Paths	paths
Plot Graph	plot.dagitty
Plot Results of Local Tests	plotLocalTestResults
Generate DAG at Random	randomDAG
Simulate Binary Data from DAG Structure	simulateLogistic
Simulate Data from Structural Equation Model	simulateSEM
Extract Structural Part from Structural Equation Model	structuralPart
Convert DAG to MAG.	toMAG
Get Topological Ordering of DAG	topologicalOrdering
List Implied Vanishing Tetrads	vanishingTetrads
Variable Statuses	adjustedNodes adjustedNodes<- exposures exposures<- latents latents<- outcomes outcomes<- setVariableStatus VariableStatus