modi: Multivariate outlier detection and imputation for incomplete survey data
Version 1.6

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.

Package details

AuthorBeat Hulliger
Date of publication2016-09-27 20:10:38
MaintainerBeat Hulliger <>
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("modi", repos="")

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modi documentation built on May 31, 2017, 5 a.m.