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missMDA

1.23Package record

Handling Missing Values with Multivariate Data Analysis

9packages dependsuggested by 3
142.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Imputation of incomplete continuous or categorical datasets; Missing values are imputed with a principal component analysis (PCA), a multiple correspondence analysis (MCA) model or a multiple factor analysis (MFA) model; Perform multiple imputation with and in PCA or MCA.

Install

Health

CRAN checks
13OK
Slowest check: 3.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.23
READMEYes · 33 wordsVignettesYes · 2 · staticNEWSNoCitation fileYes · cites a publicationWebsiteYes
Cites a JSS article
Help pages
26includes a package overview page
Examples that run
4%1 run in a plain check · 24 never run
Exported functions with examples
100%
Documented parameters
99%
Return-value docs
100%
Help pages citing references
65%

Downloads

142.6K
CRAN downloads in the past year
Rank #1,334 · ~391/day · ~11.9K/mo
Daily download trend is not available in this view yet.
8.3K30 days
21.4K90 days
142.6K1 year
Compare downloads with other packages →
Also on599 r2u3 autocran3.3K conda_forge152 c2d4u

Repository

3Stars
3Forks
2Open issues
0Open PRs
0Releases
22Commits
1Commit identities
22 commits · Last activity 2026-06-29 · 0% stars, 30d · The default branch showed an older version (1.22) than CRAN on 2026-10-11
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
2
Median days to close, 50 most recently updated closed PRs
not measured

Stars over time

2019-12-18 · 22026-07-07 · 3
PracticesBeta

Checks run against github.com/husson/missmda on 2026-10-11.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing missMDA adds 125 packages (66 with compiled code, 98 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.

Depends (1)
R >= 4.4
Imports (11)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
9direct
2indirect
Depends 1 · Imports 8
Suggested by 3
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

Datasets

People & History

People (2)
Author, Maintainer since 1.0 (2010)
Releases (31)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 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
  • 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
  • R
    R 3.1.0 released · 2014-04-10
  • 3.0.3Latest
    record
    2013-12-11 · current release · diff ↗
  • 3.0.2
    record
    2013-05-23 · diff ↗
  • R
    R 3.0.0 released · 2013-04-03
Show 34 earlier eventsHide 34 earlier events

Package metadata

First published
2010-04-29
Total releases
31 / 16 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.4
Bundled data
161 KB / 7 files
Download size
214 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("missMDA")

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

It points to 10.18637/jss.v070.i01.

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 missMDA version 1.23 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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