https://github.com/jtextor/dagitty

Graphical analysis of structural causal models / graphical causal models.
https://github.com/jtextor/dagitty

Last synced: 18 days ago
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Graphical analysis of structural causal models / graphical causal models.

• Host: GitHub
• URL: https://github.com/jtextor/dagitty
• Owner: jtextor
• License: gpl-2.0
• Created: 2015-11-25T21:44:37.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2024-06-18T18:12:51.000Z (5 months ago)
• Last Synced: 2024-09-28T13:34:03.872Z (about 2 months ago)
• Language: JavaScript
• Homepage:
• Size: 1.65 MB
• Stars: 284
• Watchers: 16
• Forks: 46
• Open Issues: 37
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# dagitty

This is a collection of algorithms, a GUI frontend and an R package for analyzing

graphical causal models (DAGs).

The main components of the repository are:

 * [jslib](jslib): a JavaScript library implementing many DAG algorithms. This library underpins

 both the web interface and the R package, but could also be used independently, like in node.js.

 * [gui](gui): HTML interface for a GUI that exposes most of the functions in the JavaScript library.

 * [r](r): R package that exposes most of the functions in the JavaScript library.

 * [website](website): The current content of [dagitty.net](https://dagitty.net), including a version of the GUI (which may be older than the one in [gui](gui). 

 * [doc](doc): LaTeX source of the dagitty PDF documentation.

## Running the web interface locally

Clone the repository and open the file `gui/dags.html` in your web browser.

Currently most functionality should work locally, but you will need an internet

connection if you want to load or save DAG models on [dagitty.net](https://dagitty.net).

## Running the R package

The R package can be installed from CRAN, but this version is not updated very

frequently. If you want to install the most recent version of the dagitty R package,

you can:

```

install.packages("remotes") # unless you have it already

remotes::install_github("jtextor/dagitty/r")

```

If you encounter any problems installing the R package,

it is probably not due to dagitty itself, but due to the

package "V8" that it depends on. 

I may try to remove this dependency in a future version.

# More information

You can get more information on dagitty at [dagitty.net](https://dagitty.net) and

 [dagitty.net/learn](https://dagitty.net/learn). The R package is

documented through the standard R help interface.

There are also a few papers available:

1. Textor, J., van der Zander, B., Gilthorpe, M. S., Liśkiewicz, M., & Ellison, G. T. H. (2017). Robust causal inference using directed acyclic graphs: the R package ‘dagitty.’ In International Journal of Epidemiology (p. dyw341). Oxford University Press (OUP). https://doi.org/10.1093/ije/dyw341

2. Ankan, A., Wortel, I. M. N., & Textor, J. (2021). Testing Graphical Causal Models Using the R Package “dagitty.” In Current Protocols (Vol. 1, Issue 2). Wiley. https://doi.org/10.1002/cpz1.45