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statsmodels | Statsmodels : statistical modeling and econometrics in Python | Analytics library

 by   statsmodels Python Version: 0.13.5 License: BSD-3-Clause

 by   statsmodels Python Version: 0.13.5 License: BSD-3-Clause

kandi X-RAY | statsmodels Summary

statsmodels is a Python library typically used in Analytics applications. statsmodels has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'pip install statsmodels' or download it from GitHub, PyPI.
Statsmodels: statistical modeling and econometrics in Python
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Quality
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Security
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kandi-support Support

  • statsmodels has a highly active ecosystem.
  • It has 8146 star(s) with 2640 fork(s). There are 276 watchers for this library.
  • There were 3 major release(s) in the last 6 months.
  • There are 2343 open issues and 2610 have been closed. On average issues are closed in 745 days. There are 155 open pull requests and 0 closed requests.
  • It has a positive sentiment in the developer community.
  • The latest version of statsmodels is 0.13.5
statsmodels Support
Best in #Analytics
Average in #Analytics
statsmodels Support
Best in #Analytics
Average in #Analytics

quality kandi Quality

  • statsmodels has 0 bugs and 0 code smells.
statsmodels Quality
Best in #Analytics
Average in #Analytics
statsmodels Quality
Best in #Analytics
Average in #Analytics

securitySecurity

  • statsmodels has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • statsmodels code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
statsmodels Security
Best in #Analytics
Average in #Analytics
statsmodels Security
Best in #Analytics
Average in #Analytics

license License

  • statsmodels is licensed under the BSD-3-Clause License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
statsmodels License
Best in #Analytics
Average in #Analytics
statsmodels License
Best in #Analytics
Average in #Analytics

buildReuse

  • statsmodels releases are available to install and integrate.
  • Deployable package is available in PyPI.
  • Build file is available. You can build the component from source.
  • statsmodels saves you 224309 person hours of effort in developing the same functionality from scratch.
  • It has 233861 lines of code, 11576 functions and 1170 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
statsmodels Reuse
Best in #Analytics
Average in #Analytics
statsmodels Reuse
Best in #Analytics
Average in #Analytics
Top functions reviewed by kandi - BETA

kandi has reviewed statsmodels and discovered the below as its top functions. This is intended to give you an instant insight into statsmodels implemented functionality, and help decide if they suit your requirements.

  • Plot a dot plot .
    • Compute the news distribution .
      • Rotates a matrix A .
        • Update the filter .
          • Plot the hdr box plot .
            • Fit the model using the given parameters .
              • Compute a robust covariance matrix .
                • r Compute a model .
                  • Calculate the Hannan RANSEN algorithm .
                    • Return a summary of the model .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      statsmodels Key Features

                      Statsmodels: statistical modeling and econometrics in Python

                      statsmodels Examples and Code Snippets

                      See all related Code Snippets

                      Community Discussions

                      Trending Discussions on statsmodels
                      • How to install Python statsmodels on Apple M1?
                      • How to install local package with conda
                      • Including parameters in state space model from statsmodels
                      • what does {sys.executable} do in jupyter notebook?
                      • LogisticRegression from sk_learn and smf.logit() from statsmodels.formula.api return different results
                      • What is Julia's equivalent ggplot code of R's?
                      • how to predict using statsmodels.formula.api logit
                      • How to make Jupyter notebook python help function output colorful?
                      • RandomizedSearchCV: All estimators failed to fit
                      • OLS fit for python with coefficient error and transformed target
                      Trending Discussions on statsmodels

                      QUESTION

                      How to install Python statsmodels on Apple M1?

                      Asked 2022-Mar-22 at 15:53

                      I cannot figure out how to install statsmodels on my M1 machine. After following the instructions in similar threads about scipy and numpy issues with M1, I am able to install these, but cannot install statsmodels.

                      Statsmodels issues were also raised here, but unresolved: https://github.com/scipy/scipy/issues/13409

                      python --version Python 3.8.9

                      pip --version pip 21.3.1

                      The command pip install statsmodels==0.13.1 leads to the error message:

                      ERROR: Could not find a version that satisfies the requirement statsmodels==0.13.1

                      Has anyone managed to install it?

                      Thank you!

                      ANSWER

                      Answered 2021-Dec-29 at 19:24

                      Have you tried installing it from conda-forge? This package page shows that there's a osx-arm64 version available.

                      You can install Miniforge (or Mambaforge, if you prefer) for Apple Silicon platforms from the conda-forge GitHub repo. Then just follow the installation instructions and create an environment to install statsmodels into.

                      Unfortunately, I don't have an M1 machine so I can't test if it's working.

                      Source https://stackoverflow.com/questions/70518222

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

                      Vulnerabilities

                      No vulnerabilities reported

                      Install statsmodels

                      You can install using 'pip install statsmodels' or download it from GitHub, PyPI.
                      You can use statsmodels 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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                      Install
                      • pip install statsmodels

                      Clone
                      • https://github.com/statsmodels/statsmodels.git

                      • gh repo clone statsmodels/statsmodels

                      • git@github.com:statsmodels/statsmodels.git

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