shinyDAG | Shiny app to create/visualize/analyze causal diagrams

by GerkeLab R Version: v1.0.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | shinyDAG Summary

shinyDAG is a R library. shinyDAG has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

shinyDAG is a web application that uses R and LaTeX to create publication-quality images of directed acyclic graphs (DAGs). Additionally, the application leverages complementary R packages to evaluate correlational structures and identify appropriate adjustment sets for estimating causal effects1-4. The web-based application can be accessed at

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Quality

Security

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Support

shinyDAG has a low active ecosystem.

It has 38 star(s) with 6 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 9 have been closed. On average issues are closed in 9 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of shinyDAG is v1.0.0

Quality

shinyDAG has 0 bugs and 0 code smells.

Security

shinyDAG has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

shinyDAG code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

shinyDAG is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

shinyDAG releases are available to install and integrate.

It has 224 lines of code, 0 functions and 2 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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shinyDAG Key Features

No Key Features are available at this moment for shinyDAG.

shinyDAG Examples and Code Snippets

No Code Snippets are available at this moment for shinyDAG.

Community Discussions

No Community Discussions are available at this moment for shinyDAG.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install shinyDAG

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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