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.

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.

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 an IPython Notebook and as a plain python …

Methods for Survival and Duration Analysis Nonparametric Methods nonparametric Generalized Method of Moments gmm Other Models miscmodels Multivariate Statistics ...

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 statistical model and to draw a diagnostic …

# Load modules and data In [1]: import numpy as np In [2]: import statsmodels.api as sm In [3]: spector_data = sm.datasets.spector.load() In [4]: spector_data.exog = …

The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing.

During the Google Summer of Code 2009, statsmodels was corrected, tested, improved and released as a new package. Since then, the statsmodels development team has continued to add new models, …

# Load modules and data In [1]: import numpy as np In [2]: import statsmodels.api as sm In [3]: spector_data = sm.datasets.spector.load() In [4]: spector_data.exog = …

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 …