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Get Started with grpreg
Regularization paths for regression models with grouped covariates.
Getting Started
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Our full tool profile covers grpreg's strengths, weaknesses, pricing, and how it compares to alternatives.
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Researchers working with high-dimensional data where covariates naturally group together
Data analysts who need to enhance model interpretability through regularization techniques
Statisticians looking for efficient algorithms to fit complex regression models