RobRSVD swMATH ID: 39426 Software Authors: Lingsong Zhang; Chao Pan Description: R package 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. Homepage: https://cran.r-project.org/web/packages/RobRSVD/index.html Source Code: https://github.com/cran/RobRSVD Dependencies: R Related Software: iMoMo; StMoMo; Demography Cited in: 1 Document Cited by 4 Authors 1 Ayuso, Mercedes 1 Bravo, Jorge Miguel 1 Holzmann, Robert 1 Palmer, Edward Cited in 1 Serial 1 Insurance Mathematics & Economics Cited in 1 Field 1 Game theory, economics, finance, and other social and behavioral sciences (91-XX) Citations by Year