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Prism v2.0.2

Christopher Madan

Prism: Multiple spline regression with regularization, dimensionality reduction, and feature selection

Prism uses a combination of statistical methods to conduct spline-based multiple regression. Prism conducts this regression using regularization, dimensionality reduction, and feature selection, through a combination of smoothing spline regression, PCA, and RVR/LASSO.

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