Robust Singular Value Decomposition using Density Power
Computing singular value decomposition with robustness is a challenging task.
This package provides an implementation of computing robust SVD using density power
divergence (<2109.10680>). It combines the idea of robustness and efficiency in estimation
based on a tuning parameter. It also provides utility functions to simulate various
scenarios to compare performances of different algorithms.2109.10680>