negative_binomial | Code for fitting a negative binomial distribution in Python
kandi X-RAY | negative_binomial Summary
kandi X-RAY | negative_binomial Summary
negative_binomial is a Python library. negative_binomial has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Code for fitting a negative binomial distribution in Python
Code for fitting a negative binomial distribution in Python
Support
Quality
Security
License
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Support
negative_binomial has a low active ecosystem.
It has 3 star(s) with 2 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 1 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 negative_binomial is current.
Quality
negative_binomial has no bugs reported.
Security
negative_binomial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
negative_binomial is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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negative_binomial releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed negative_binomial and discovered the below as its top functions. This is intended to give you an instant insight into negative_binomial implemented functionality, and help decide if they suit your requirements.
- Calculate the negative bin bin index
- Compute the p - variance of the covariance matrix
Get all kandi verified functions for this library.
negative_binomial Key Features
No Key Features are available at this moment for negative_binomial.
negative_binomial Examples and Code Snippets
No Code Snippets are available at this moment for negative_binomial.
Community Discussions
No Community Discussions are available at this moment for negative_binomial.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install negative_binomial
You can download it from GitHub.
You can use negative_binomial like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use negative_binomial like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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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