# Small Discussion About Statsmodels ?

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What is Statsmodels ?

Statsmodels is a Python package that allows users to explore data, estimate statistical models, and perform statistical tests. Statsmodels is built on top of the numerical libraries NumPy and SciPy, integrates with Pandas for data handling and uses Patsy for an R-like formula interface.

Statsmodels is part of the scientific Python stack that is oriented towards data analysis, data science and statistics. Statsmodels is built on top of the numerical libraries NumPy and SciPy, integrates with Pandas for data handling and uses Patsy[3] for an R-like formula interface. Graphical functions are based on the Matplotlib library. Statsmodels provides the statistical backend for other Python libraries. Statmodels in free software released under the Modified BSD (3-clause) license.

Features

• Linear regression models:
• Mixed Linear Model with mixed effects and variance components
• GLM: Generalized linear models with support for all of the one-parameter exponential family distributions
• Bayesian Mixed GLM for Binomial and Poisson
• GEE: Generalized Estimating Equations for one-way clustered or longitudinal data
• Discrete models:
• Multivariate:
• Nonparametric statistics: Univariate and multivariate kernel density estimators
• Datasets: Datasets used for examples and in testing
• Statistics: a wide range of statistical tests
• Imputation with MICE, regression on order statistic and Gaussian imputation
• Mediation analysis
• Table output to ascii, latex, and html
• Miscellaneous models​

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#### References

https://pypi.org/project/statsmodels/
posted Oct 29, 2018

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Features

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Main Benefits

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Python Install

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Features:

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Bottle is a fast, simple and lightweight WSGI micro web-framework for Python. It is distributed as a single file module and has no dependencies other than the Python Standard Library.

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Example Code

from bottle import route, run, template

@route('/hello/<name>')
def index(name):
return template('<b>Hello {{name}}</b>!', name=name)

run(host='localhost', port=8080)

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Benefits for mathematical expressions

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