r-softimpute 1.4-1 Matrix completion via iterative soft-thresholded SVD
This package provides iterative methods for matrix completion that use nuclear-norm regularization. The package includes procedures for centering and scaling rows, columns or both, and for computing low-rank single value decompositions (SVDs) on large sparse centered matrices (i.e. principal components).
- Website: https://cran.r-project.org/web/packages/softImpute
- License: GPL 2
- Package source: cran.scm
- Patches: None
- Builds: x86_64-linux, aarch64-linux, powerpc64le-linux, i686-linux, armhf-linux, i586-gnu