Learn R Programming

⚠️There's a newer version (0.3-4) of this package.Take me there.

dagitty (version 0.2-2)

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.

Copy Link

Version

Install

install.packages('dagitty')

Monthly Downloads

5,615

Version

0.2-2

License

GPL-2

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/jtextor/dagitty

Homepage

http://www.dagitty.net

Maintainer

Johannes Textor

Last Published

August 26th, 2016

Functions in dagitty (0.2-2)

Load Graph from dagitty.net

AncestralRelations

Ancestral Relations

Back-Door Graph

Convert to DAGitty object

Covariate Adjustment Sets

Plot Coordinates of Variables in Graph

Canonicalize an Ancestral Graph

Parse DAGitty Graph

EquivalentModels

Generating Equivalent Models

Generate Graph Layout

exogenousVariables

Retrieve Exogenous Variables

instrumentalVariables

Find Instrumental Variables

impliedConditionalIndependencies

List Implied Conditional Independencies

isAdjustmentSet

Adjustment Criterion

Get Bundled Examples

Simulate Data from Structural Equation Model

plotLocalTestResults

Plot Results of Local Tests

Test Graph against Data

Convert Lavaan Model to DAGitty Graph

Orient Edges in PDAG.

Generate DAG at Random

Test for Graph Class

Variable Statuses

vanishingTetrads

List Implied Vanishing Tetrads

Names of Variables in Graph