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MissMech

1.0.4

Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random

0packages depend
10.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Mao KobayashiFirst published 2013-07-065 releasesCRAN page ↗GitHub ↗

To test whether the missing data mechanism, in a set of incompletely observed data, is one of missing completely at random (MCAR). For detailed description see Jamshidian, M. Jalal, S., and Jansen, C. (2014). "MissMech: An R Package for Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random (MCAR)", Journal of Statistical Software, 56(6), 1-31. https://www.jstatsoft.org/v56/i06/ doi:10.18637/jss.v056.i06.

Install

Health

CRAN checks
13OK
Slowest check: 52 s · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct
Check history
  • OK2026-08-05
    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 · 410 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
83%

Downloads

10.2K
CRAN downloads in the past year
Rank #6,782 · ~28/day · ~852/mo
Daily download trend is not available in this view yet.
32130 days
1.3K90 days
10.2K1 year
Compare downloads with other packages →
Also on109 r2u11 autocran74 c2d4u

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
missing-datar
License GPL-2.0 · Last activity 2024-03-05

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/indenkun/missmech on 2026-08-09.

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (2)
graphicsstats
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Maintainer · added in 1.0.3
Authors (3)
Author · added in 1.0.3
Listed in earlier versions (1)
no longer listed · 1.0 to 1.0.2
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
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.4Latest
    2024-03-05 · current release · diff ↗
  • 1.0.3
    2024-01-23 · diff ↗
  • unarchivedReturned to CRAN
    2024-01-23
  • 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
  • archivedRemoved from CRAN
    2020-10-08
    check problems were not corrected in time
  • 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
Show 5 earlier events
  • 1.0.2
    2015-04-14 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • 1.0.1
    2014-01-21 · diff ↗
  • 1.0
    2013-07-06
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2013-07-06
Total releases
5 / 13 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 2.10
Bundled data
3.7 KB / 1 file
Download size
73 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MissMech")
Kobayashi, M., Jalal, S., Jamshidian, M., & Jansen, C. (2024). MissMech: Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random (Version 1.0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.MissMech

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 MissMech version 1.0.4 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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