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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "softImpute" in publications use:'
type: software
license: GPL-2.0-only
title: 'softImpute: Matrix Completion via Iterative Soft-Thresholded SVD'
version: 1.4-1
doi: 10.32614/CRAN.package.softImpute
abstract: Iterative methods for matrix completion that use nuclear-norm regularization.
  There are two main approaches.The one approach uses iterative soft-thresholded svds
  to impute the missing values. The second approach uses alternating least squares.
  Both have an 'EM' flavor, in that at each iteration the matrix is completed with
  the current estimate. For large matrices there is a special sparse-matrix class
  named "Incomplete" that efficiently handles all computations. The package includes
  procedures for centering and scaling rows, columns or both, and for computing low-rank
  SVDs on large sparse centered matrices (i.e. principal components).
authors:
- family-names: Hastie
  given-names: Trevor
  email: hastie@stanford.edu
- family-names: Mazumder
  given-names: Rahul
  email: rahul.mazumder@gmail.com
repository: https://trevorhastie.r-universe.dev
commit: b497771beea6c466266082524a9b0c91b98126a7
date-released: '2021-05-08'
contact:
- family-names: Hastie
  given-names: Trevor
  email: hastie@stanford.edu