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RobRSVD (version 1.0)

Robust Regularized Singular Value Decomposition

Description

This package provides the function to calculate SVD, regularized SVD, robust SVD and robust regularized SVD method. The robust SVD methods use alternating iteratively reweighted least squares methods. The regularized SVD uses generalized cross validation to choose the optimal smoothing parameters.

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Version

Install

install.packages('RobRSVD')

Monthly Downloads

4

Version

1.0

License

GPL

Maintainer

Lingsong Zhang

Last Published

December 16th, 2013

Functions in RobRSVD (1.0)

RobRSVD-package

The Robust Regularized Singular Value Decomposition Package
huberWeightLS

Huber's function
ssmatls

The smoothing spline matrix
RobRSVD

Robust Regularized Singular Value Decomposition