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dagitty (version 0.1-10)

Graphical Analysis of Structural Causal Models

Description

A port of the web-based software 'DAGitty', available at , 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.

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Install

install.packages('dagitty')

Monthly Downloads

469,658

Version

0.1-10

License

GPL-2

Issues

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Repository

https://github.com/jtextor/dagitty

Homepage

http://www.dagitty.net

Maintainer

Johannes Textor

Last Published

March 26th, 2016

Functions in dagitty (0.1-10)

Names of Variables in Graph

isAdjustmentSet

Adjustment Criterion

Back-Door Graph

Covariate Adjustment Sets

Orient Edges in PDAG.

Test for Graph Class

Parse DAGitty Graph

Convert to DAGitty object

plotLocalTestResults

Plot Results of Local Tests

Canonicalize an Ancestral Graph

Generate Graph Layout

Convert Lavaan Model to DAGitty Graph

EquivalentModels

Generating Equivalent Models

Simulate Data from Structural Equation Model

Generate DAG at Random

Test Graph against Data

instrumentalVariables

Find Instrumental Variables

Plot Coordinates of Variables in Graph

AncestralRelations

Ancestral Relations

impliedConditionalIndependencies

List Implied Conditional Independencies

Load Graph from dagitty.net

Get Bundled Examples

vanishingTetrads

List Implied Vanishing Tetrads

Variable Statuses