ggdag | R package for working with causal directed acyclic graphs

 by   r-causal R Version: v0.2.9 License: Non-SPDX

kandi X-RAY | ggdag Summary

kandi X-RAY | ggdag Summary

ggdag is a R library. ggdag has no bugs, it has no vulnerabilities and it has low support. However ggdag has a Non-SPDX License. You can download it from GitHub.

Tidy, analyze, and plot causal directed acyclic graphs (DAGs). ggdag uses the powerful dagitty package to create and analyze structural causal models and plot them using ggplot2 and ggraph in a consistent and easy manner.
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            kandi-support Support

              ggdag has a low active ecosystem.
              It has 383 star(s) with 22 fork(s). There are 11 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 11 open issues and 61 have been closed. On average issues are closed in 69 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ggdag is v0.2.9

            kandi-Quality Quality

              ggdag has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              ggdag has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              ggdag releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

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            ggdag Key Features

            No Key Features are available at this moment for ggdag.

            ggdag Examples and Code Snippets

            No Code Snippets are available at this moment for ggdag.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install ggdag

            You can install ggdag with:.

            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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