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softImpute

1.4-3Package record

Matrix Completion via Iterative Soft-Thresholded SVD

11packages depend
37.5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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: 2.9 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.4-3
READMEYes · 5 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
19 (1 internal)includes a package overview page
Examples that run
100%10 run in a plain check
Exported functions with examples
50%
Documented parameters
100%
Return-value docs
50%
Help pages citing references
26%

Downloads

37.5K
CRAN downloads in the past year
Rank #2,140 · ~103/day · ~3.1K/mo
Daily download trend is not available in this view yet.
3K30 days
8.4K90 days
37.5K1 year
Compare downloads with other packages →
Also on1.6K r2u7 autocran13.5K conda_forge136 c2d4u

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing softImpute adds no packages beyond those that come with R.

Depends (2)
Matrixmethods
Imports (0)
none
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
11direct
3indirect
Imports 11
Depends, Imports or LinkingTo, most downloaded first

People & History

People (3)
Author, Maintainer since 1.0 (2013)
Contributor · added in 1.4-2
Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.4-3Latest
    record
    2025-05-12 · current release · diff ↗
  • 1.4-2
    record
    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
    record
    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
    record
    2015-04-08 · diff ↗ ·
    added 2 exports
    clean.warm.start, deBias
Show 4 earlier eventsHide 4 earlier events
  • R
    R 3.1.0 released · 2014-04-10
  • 1.0
    record
    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
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("softImpute")

The package provides a citation file, so citation() returns the authors' own entry.

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 v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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