statsmodels
This powerful Python package facilitates advanced statistical computations and modeling. Offering a variety of tools for linear regression, time series analysis, and survival analysis, it supports methods ranging from ordinary least squares to Bayesian models. Ideal for researchers and analysts, it enhances data analysis capabilities with intuitive design and extensive documentation.
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Top statsmodels Features
- Statistical model estimation
- Generalized linear models
- Robust linear models
- Time series modeling framework
- Mixed effects models
- Bayesian mixed models
- Hypothesis testing capabilities
- Nonparametric statistical methods
- Principal component analysis support
- Descriptive statistics functions
- Imputation methods included
- Comprehensive diagnostics tools
- Visual data analysis functions
- Extensive dataset examples
- Support for autoregressive models
- Zero-inflated count models
- Dynamic factor models
- Canonical correlation analysis
- Multivariate analysis techniques
- Generalized estimating equations.
