Package: modi
Type: Package
Title: Multivariate Outlier Detection and Imputation for Incomplete
        Survey Data
Version: 0.1.3
Authors@R: c(
    person("Beat", "Hulliger", email = "beat.hulliger@fhnw.ch", role = c("aut", "cre")),
    person("Martin", "Sterchi", email = "martin.sterchi@fhnw.ch", role = "ctb"),
    person("Tobias", "Schoch", email = "tobias.schoch@fhnw.ch", role = "ctb"))
Description: 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>.
License: MIT + file LICENSE
URL: https://github.com/martinSter/modi
BugReports: https://github.com/martinSter/modi/issues
Language: en-GB
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: MASS (>= 7.3-50), norm (>= 1.0-9.5), stats, graphics, utils
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown, survey, testthat
VignetteBuilder: knitr
Repository: https://martinster.r-universe.dev
Date/Publication: 2025-08-22 12:04:26 UTC
RemoteUrl: https://github.com/martinster/modi
RemoteRef: HEAD
RemoteSha: e31452f9162655ab00c7783307890b0f78cc3fa8
NeedsCompilation: no
Packaged: 2026-06-21 09:45:03 UTC; root
Author: Beat Hulliger [aut, cre],
  Martin Sterchi [ctb],
  Tobias Schoch [ctb]
Maintainer: Beat Hulliger <beat.hulliger@fhnw.ch>