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.

Package details

AuthorBeat Hulliger
MaintainerBeat Hulliger <[email protected]>
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 2, 2019, 6:48 p.m.