mixedlogistic | Implementation of the Wang Mixed Logistic
kandi X-RAY | mixedlogistic Summary
kandi X-RAY | mixedlogistic Summary
mixedlogistic is a Python library. mixedlogistic has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Implementation of the Wang(1994) Mixed Logistic Regression Models. The paper uses Binomial responses, but the model can accommodate binary response.
Implementation of the Wang(1994) Mixed Logistic Regression Models. The paper uses Binomial responses, but the model can accommodate binary response.
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mixedlogistic has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
mixedlogistic has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of mixedlogistic is current.
Quality
mixedlogistic has no bugs reported.
Security
mixedlogistic has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
mixedlogistic 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.
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mixedlogistic 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.
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mixedlogistic Key Features
No Key Features are available at this moment for mixedlogistic.
mixedlogistic Examples and Code Snippets
No Code Snippets are available at this moment for mixedlogistic.
Community Discussions
No Community Discussions are available at this moment for mixedlogistic.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install mixedlogistic
You can download it from GitHub.
You can use mixedlogistic 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 mixedlogistic 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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