nflscrapR-models | expected points and win probability models

by ryurko R Version: Current License: No License

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

kandi X-RAY | nflscrapR-models Summary

nflscrapR-models is a R library. nflscrapR-models has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This repository contains the following folders for code inside the R folder:.

Support

Quality

Security

License

Reuse

Support

nflscrapR-models has a low active ecosystem.

It has 34 star(s) with 7 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nflscrapR-models is current.

Quality

nflscrapR-models has 0 bugs and 0 code smells.

Security

nflscrapR-models has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

nflscrapR-models code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nflscrapR-models does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

nflscrapR-models releases are not available. You will need to build from source code and install.

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nflscrapR-models Key Features

No Key Features are available at this moment for nflscrapR-models.

nflscrapR-models Examples and Code Snippets

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Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install nflscrapR-models

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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