restlos: Robust Estimation of Location and Scatter

The restlos package provides algorithms for robust estimation of location (mean and mode) and scatter based on minimum spanning trees (pMST), self-organizing maps (Flood Algorithm), Delaunay triangulations (RDELA), and nested minimum volume convex sets (MVCH). The functions are also suitable for outlier detection.

Author
Steffen Liebscher and Thomas Kirschstein
Date of publication
2015-08-11 15:28:34
Maintainer
Steffen Liebscher <steffen.liebscher@wiwi.uni-halle.de>
License
GPL (>= 2)
Version
0.2-2

View on CRAN

Man pages

flood
The Flood Algorithm
halle
Halle data set
MVCH
The MVCH Algorithm
plot.flood
Plot function for objects of class 'flood'
plot.pMST
Plot function for objects of class 'pMST'
plot.rdela
Plot function for objects of class 'rdela'
pMST
The pMST Algorithm
rdela
The RDELA Algorithm
restlos-internal
Internal restlos objects
restlos-package
Robust Estimation of Location and Scatter

Files in this package

restlos
restlos/NAMESPACE
restlos/data
restlos/data/halle.rda
restlos/R
restlos/R/pMST.r
restlos/R/flood.R
restlos/R/plot.flood.R
restlos/R/MVCH.r
restlos/R/plot.rdela.R
restlos/R/rdela.r
restlos/R/restlos-internal.R
restlos/R/plot.pMST.R
restlos/MD5
restlos/DESCRIPTION
restlos/man
restlos/man/flood.Rd
restlos/man/plot.flood.Rd
restlos/man/halle.Rd
restlos/man/rdela.Rd
restlos/man/MVCH.Rd
restlos/man/pMST.Rd
restlos/man/restlos-internal.Rd
restlos/man/plot.rdela.Rd
restlos/man/plot.pMST.Rd
restlos/man/restlos-package.Rd