Package: modi 0.1.3

Beat Hulliger

modi: Multivariate Outlier Detection and Imputation for Incomplete Survey Data

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>.

Authors:Beat Hulliger [aut, cre], Martin Sterchi [ctb], Tobias Schoch [ctb]

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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
modi/json (API)

# Install 'modi' in R:

install.packages('modi', repos = c('https://martinster.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/martinster/modi/issues

Datasets:

bushfire - Bushfire scars.
bushfire.weights - Weights for Bushfire scars.
bushfirem - Bushfire scars with missing data.
lival - Living Standards Measurement Survey Albania 2012
sepe - Sample Environment Protection Expenditure Survey.

On CRAN:

6.19 score 4 stars 1 packages 130 scripts 898 downloads 22 exports 2 dependencies

Last updated from:e31452f916. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	161
source / vignettes	OK	191
linux-release-x86_64	OK	114
macos-release-arm64	OK	136
macos-oldrel-arm64	OK	151
windows-devel	OK	94
windows-release	OK	85
windows-oldrel	OK	77
wasm-release	OK	120

Exports:BEM EA.dist EAdet EAimp EM.normal ER ER.normal GIMCD ind.dij ind.dijs MDmiss nz.min plotIT PlotMD POEM psi.lismi sweep.operator TRC weighted.quantile weighted.var weightsum Winsimp

Dependencies:MASS norm

Introduction to modi

Rendered frommodi_vignette.Rmdusingknitr::rmarkdown

Last update: 2025-08-21
Started: 2018-07-24

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
BACON-EEM Algorithm for multivariate outlier detection in incomplete multivariate survey data	BEM
Bushfire scars.	bushfire
Weights for Bushfire scars.	bushfire.weights
Bushfire scars with missing data.	bushfirem
Epidemic Algorithm for detection of multivariate outliers in incomplete survey data	EAdet
Epidemic Algorithm for imputation of multivariate outliers in incomplete survey data.	EAimp
Robust EM-algorithm ER	ER
Gaussian imputation followed by MCD	GIMCD
Living Standards Measurement Survey Albania 2012	lival
Mahalanobis distance (MD) for data with missing values	MDmiss
modi: Multivariate outlier detection for incomplete survey data.	modi
Plot of infection times of the EA algorithm	plotIT
QQ-Plot of Mahalanobis distances	PlotMD
Nearest Neighbour Imputation with Mahalanobis distance	POEM
Sample Environment Protection Expenditure Survey.	sepe
Transformed rank correlations for multivariate outlier detection	TRC
Quantiles of a weighted cdf	weighted.quantile
Weighted univariate variance coping with missing values	weighted.var
Winsorization followed by imputation	Winsimp