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softImpute

1.4-3

Matrix Completion via Iterative Soft-Thresholded SVD

11packages depend
44.7Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Trevor HastieFirst published 2013-04-035 releasesCRAN page ↗

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).

Install

Health

CRAN checks
13OK
Slowest check: 3.0 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 5 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
50%
References docs
26%

Downloads

44.7K
CRAN downloads in the past year
Rank #2,464 · ~123/day · ~3.7K/mo
Daily download trend is not available in this view yet.
2.3K30 days
7.5K90 days
44.7K1 year
Compare downloads with other packages →
Also on1.1K r2u26 autocran12.8K conda_forge94 c2d4u

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (2)
Matrixmethods
Imports (0)
none
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Contributors (1)
Contributor · added in 1.4-2
Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.4-3Latest
    2025-05-12 · current release · diff ↗
  • 1.4-2
    2025-05-07 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.4-1
    2021-05-09 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 1.4
    2015-04-08 · diff ↗
Show 4 earlier events
  • R
    R 3.1.0 released · 2014-04-10
  • 1.0
    2013-04-03
  • R
    R 3.0.0 released · 2013-04-03
  • R
    R 2.15.0 released · 2012-03-30

Package metadata

First published
2013-04-03
Total releases
5 / 13 yrs
License
GPL-2 OSI
Download size
252 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("softImpute")
Hastie, T., Mazumder, R., & Narasimhan, B. (2025). softImpute: Matrix Completion via Iterative Soft-Thresholded SVD (Version 1.4-3) [Computer software]. https://doi.org/10.32614/CRAN.package.softImpute

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for softImpute version 1.4-3 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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