statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting ... Installing statsmodels · API Reference · Examples

You will need a C compiler installed to build statsmodels. If you are building from the github source and not a source release, then you will also need Cython. Obtaining the Source · Installation from Source

This page provides a series of examples, tutorials and recipes to help you get started with statsmodels . Each of the examples shown here is made available as ... Forecasting in statsmodels · Statsmodels Principal... · Ordinary Least Squares

This very simple case-study is designed to get you up-and-running quickly with statsmodels . Starting from raw data, we will show the steps needed to estimate a ...

This module allows estimation by ordinary least squares (OLS), weighted least squares (WLS), generalized least squares (GLS), and feasible generalized least ...

User Guide: Background, Regression and Linear Models, Time Series Analysis, Other Models, Statistics and Tools, Data Sets, Sandbox Time Series analysis tsa · Linear Regression · Statistics stats

statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation and inference ... Statsmodels 0.4.0 · Statsmodels 0.5.0 · Statsmodels 0.14.0rc0 · 0.8.0 Feb 8, 2017

The main statsmodels API is split into models. The API focuses on models and the most frequently used statistical test, and tools.

This is a bug-fix release, that affects mainly Big-Endian machines. Bug Fixes 0.4.1 This is a backwards compatible (according to our test suite) release with ...

For an overview of changes that occurred previous to the 0.5.0 release see Pre 0.5.0 Release History. Last update: Nov ...