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statsmodels

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3 reviews
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4.5
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statsmodels Reviews

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Verified User in Education Management
UE
Verified User in Education Management
05/03/2019
Validated Reviewer
Review source: G2 invite
Incentivized Review

great for running econometric models!

easy and intuitive to use - works for solving a variety of problems
Verified User in Information Technology and Services
UI
Verified User in Information Technology and Services
02/06/2019
Validated Reviewer
Verified Current User
Review source: Organic

Statsmodels

A comprehensive collection of advanced or special-use statistical and regression functions. Having access to models and statistical tests related to those models in the same package is very handy. Additionally, for regression models such as ARMA/ARIMA/ARIMAX/SARIMAX, the output already contains a lot of relevant information like AIC and BIC score.
Verified User in Mining & Metals
UM
Verified User in Mining & Metals
10/18/2018
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Statsmodels

Statsmodel gives many advanced statistical functions which are not present in pandas or numpy. Scikit-learn also has many of the statistical functions, but their functionalities are limited. For advanced operations, statsmodel is the way to go.

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What is statsmodels?

Statsmodels is an open-source library for statistical modeling and econometric analysis in Python. It provides a comprehensive suite of tools for conducting a wide array of statistical tests, estimating models, and performing data analysis. Key features include linear regression, generalized linear models, time series analysis, and non-parametric methods. Statsmodels is designed to integrate with libraries like NumPy, SciPy, and pandas, enabling users to perform in-depth statistical analysis using familiar data structures. The library is well-suited for academics, researchers, and practitioners in fields such as economics, finance, social sciences, and health sciences, who require robust statistical tools for their data analysis tasks.

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pypi.org