RobRSVD: Robust Regularized Singular Value Decomposition
Version 1.0

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.

Package details

AuthorLingsong Zhang and Chao Pan
Date of publication2013-12-16 17:46:34
MaintainerLingsong Zhang <[email protected]>
LicenseGPL
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RobRSVD")

Try the RobRSVD package in your browser

Any scripts or data that you put into this service are public.

RobRSVD documentation built on May 30, 2017, 12:46 a.m.