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Multivariate Outlier Detection and Imputation for Incomplete Survey Data

1packages dependsuggested by 2
9.3Kdownloads / year
73.3%test coverage
13/13flavors OK

Overview

About

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
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.3
READMEYes · 265 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · does not mention 0.1.3Citation fileYes · software entry onlyWebsitenot declared in DESCRIPTION
Help pages
29 (10 internal)includes a package overview page
Examples that run
100%18 run in a plain check
Exported functions with examples
59%
Documented parameters
99%
Return-value docs
55%
Help pages citing references
55%

Downloads

9.3K
CRAN downloads in the past year
Rank #4,933 · ~26/day · ~778/mo
Daily download trend is not available in this view yet.
54830 days
1.7K90 days
9.3K1 year
Compare downloads with other packages →
Also on102 r2u3 autocran40 c2d4u

Repository

4Stars
1Forks
0Open issues
1Open PRs
1Releases
80Commits
4Commit identities
80 commits · Last activity 2025-08-22
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
1

Stars over time

2021-01-18 · 42026-07-07 · 4
PracticesBeta

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

Checks run against github.com/martinster/modi on 2026-10-22.

Continuous integration (1)
Travis CI (config file)
Docs source (1)
README.Rmd
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing modi adds 1 package (1 with compiled code, 19 KB of source tarballs). Heaviest: norm 19 KB.

Depends (1)
R >= 3.5.0
Imports (5)
MASSnormstatsgraphicsutils
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Suggested by 2
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

Datasets

People & History

People (3)
Author, Maintainer since 0.1.1 (2023)
Contributor · added in 0.1.1
Contributor

Previously maintained by Martin Sterchi (0.1.0).

Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.3Latest
    record
    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
    record
    2023-03-14 · diff ↗
  • 0.1.1
    record
    2023-03-03 · diff ↗ ·
    added 1 export
    plotIT
  • 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
    record
    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
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("modi")

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 modi version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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