COSSO is a new regularization method that automatically estimates and selects important function components by a soft-thresholding penalty in the context of smoothing spline ANOVA models. Implemented models include mean regression, quantile regression, logistic regression and the Cox regression models.
|Author||Hao Helen Zhang <[email protected]> and Chen-Yen Lin <[email protected]>|
|Maintainer||Chen-Yen Lin <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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