statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. An extensive list of result statistics are available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open source Modified BSD (3-clause) license. Generalized linear models with support for all of the one-parameter exponential family distributions. Markov switching models (MSAR), also known as Hidden Markov Models (HMM). Vector autoregressive models, VAR and structural VAR. Vector error correction model, VECM. Robust linear models with support for several M-estimators. statsmodels supports specifying models using R-style formulas and pandas DataFrames.

Features

  • Ordinary least squares
  • Generalized least squares
  • Weighted least squares
  • Least squares with autoregressive errors
  • Quantile regression
  • Recursive least squares

Project Samples

Project Activity

See All Activity >

Categories

UML, Statistics

License

BSD License

Follow statsmodels

statsmodels Web Site

Other Useful Business Software
Deploy Apps in Seconds with Cloud Run Icon
Deploy Apps in Seconds with Cloud Run

Host and run your applications without the need to manage infrastructure. Scales up from and down to zero automatically.

Cloud Run is the fastest way to deploy containerized apps. Push your code in Go, Python, Node.js, Java, or any language and Cloud Run builds and deploys it automatically. Get fast autoscaling, pay only when your code runs, and skip the infrastructure headaches. Two million requests free per month. And new customers get $300 in free credit.
Try Cloud Run Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of statsmodels!

Additional Project Details

Programming Language

Python

Related Categories

Python UML Tool, Python Statistics Software

Registered

2021-09-03