modi (0.1.0)

0 users

Multivariate Outlier Detection and Imputation for Incomplete Survey Data.

https://github.com/martinSter/modi
http://cran.r-project.org/web/packages/modi

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) .

Maintainer: Martin Sterchi
Author(s): Beat Hulliger [aut], Martin Sterchi [cre]

License: MIT + file LICENSE

Uses: MASS, norm, testthat, knitr, rmarkdown

Released 9 months ago.


Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of modi yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for modi on google, google scholar, r-help, r-devel.

Visit modi on R Graphical Manual.