modi

0.1.3

Multivariate Outlier Detection and Imputation for Incomplete Survey Data

3packages depend

10.6Kdownloads / 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

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("modi", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("martinSter/modi")

Development version from martinSter/modi. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-modi

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-modi

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-modi

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

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

Dependencies · direct

Check history

OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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

10.6K

CRAN downloads in the past year

Rank #4,045 · ~29/day · ~886/mo

Releases R versions

Daily download trend is not available in this view yet.

62130 days

2.4K90 days

10.6K1 year

Compare downloads with other packages →

Also on110 r2u36 autocran19 c2d4u

Repository

GitHub ↗ martinster/modi

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 2026-07-19.

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

Suggests (4)

knitr rmarkdown survey testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

3direct

0indirect

birdscanR semfindr wbacon

Code & Tests

Code Composition

R 4,015 (67%)Rd 1,614 (27%)Vignettes 388 (6%)

Code characteristics

Cyclomatic complexity: 4.5 median / 49 max
Test cases: 19 / 0.04 per code line

Test coverage

Line coverage

73%

Expression

73.6%

Tests / Examples

73.3% / 73% ex

Functions

22 22 exported

Complexity

11.2 avg / 49 max

Call network

22 nodes / 15 edges

Call graph

Open call graph →

Loading call graph…

Lowest coverage

22 functions

Function	Cyclo	Coverage
sweep.operator exp	2	54%
BEM exp	49	57%
EA.dist exp	11	66%
TRC exp	38	70%
POEM exp	31	72%
nz.min exp	2	75%

Datasets

Bundled datasets · 5

Name	Class	Rows × Cols	Also ships in
bushfire	data.frame	38 × 5	–
bushfire.weights	vector	–	–
bushfirem	data.frame	38 × 5	–
lival	data.frame	6,671 × 26	–
sepe	data.frame	675 × 23	–

People & History

People (3)

Maintainer (1)

Beat Hulliger

Author, Maintainer

Authors (1)

Beat Hulliger

Author, Maintainer

Contributors (2)

Tobias Schoch

Contributor · added in 0.1.1

Martin Sterchi

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

Anomaly Detection Missing Data

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