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modi

0.1.3

Multivariate Outlier Detection and Imputation for Incomplete Survey Data

3packages depend
10.5Kdownloads / year
73.3%test coverage
13/13checks pass

Overview

About
Maintained by Beat HulligerFirst published 2018-11-204 releasesCRAN page ↗GitHub ↗

Algorithms for multivariate outlier detection when missing values occur. Algorithms are based on Mahalanobis distance or data depth. Imputation is based on the multivariate normal model or uses nearest neighbour donors. The algorithms take sample designs, in particular weighting, into account. The methods are described in Bill and Hulliger (2016) doi:10.17713/ajs.v45i1.86.

Install

Health

CRAN checks
13OK
Slowest check: 2.1 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.04
73.3%
Coverage · measured lines
100%
Documentation · exports
5
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 · 265 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
55%
References docs
55%

Downloads

10.5K
CRAN downloads in the past year
Rank #4,098 · ~29/day · ~874/mo
Daily download trend is not available in this view yet.
46030 days
2K90 days
10.5K1 year
Compare downloads with other packages →
Also on136 r2u25 autocran19 c2d4u

Repository

Repository
4Stars
1Forks
0Open issues
1Open PRs
1Releases
80Commits
4Contributors
80 commits · Last activity 2025-08-22

Stars over time

2021-01-18 · 42026-07-07 · 4

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/martinster/modi on 2026-08-16.

Continuous integration (1)
Travis CI
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
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (5)
MASSnormstatsgraphicsutils
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
3direct
0indirect

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (2)
Contributor · added in 0.1.1
Contributor
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.3Latest
    2025-08-22 · current release · 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
  • 0.1.2
    2023-03-14 · diff ↗
  • 0.1.1
    2023-03-03 · diff ↗
  • 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
  • 0.1.0
    2018-11-20
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-11-20
Total releases
4 / 8 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Bundled data
330 KB / 5 files
Download size
454 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("modi")
Hulliger, B., Schoch, T., & Sterchi, M. (2025). modi: Multivariate Outlier Detection and Imputation for Incomplete Survey Data (Version 0.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.modi

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 modi version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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