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r-robustgam

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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).

Installation

To install this package, run one of the following:

Conda
$conda install r_test::r-robustgam

Usage Tracking

0.1.7
1 / 8 versions selected
Total downloads: 0

About

Summary

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).

Information Last Updated

Apr 22, 2025 at 15:32

License

GPL-2

Total Downloads

3

Platforms

Linux 64 Version: 0.1.7
Win 64 Version: 0.1.7
macOS 64 Version: 0.1.7