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r_test / packages / r-robustgam

This package provides robust estimation for generalized additive models. It implements a fast and stable algorithm in Wong, Yao and Lee (2013). The implementation also contains three automatic selection methods for smoothing parameter. They are designed to be robust to outliers. For more details, see Wong, Yao and Lee (2013).

Type Size Name Uploaded Downloads Labels
conda 178.5 kB | win-64/r-robustgam-0.1.7-r36h796a38f_0.tar.bz2  5 years and 1 month ago 0 main
conda 179.4 kB | osx-64/r-robustgam-0.1.7-r36h466af19_0.tar.bz2  5 years and 1 month ago 0 main
conda 177.6 kB | linux-64/r-robustgam-0.1.7-r36h29659fb_0.tar.bz2  5 years and 1 month ago 0 main

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