RobRSVD: Robust Regularized Singular Value Decomposition

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.

AuthorLingsong Zhang and Chao Pan
Date of publication2013-12-16 17:46:34
MaintainerLingsong Zhang <lingsong@purdue.edu>
LicenseGPL
Version1.0

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Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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