Last data update: 2014.03.03
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mvoutlier
Package: mvoutlier
Version: 2.0.6
Date: 2015-01-30
Title: Multivariate outlier detection based on robust methods
Author: Peter Filzmoser <P.Filzmoser@tuwien.ac.at> and
Moritz Gschwandtner <e0125439@student.tuwien.ac.at>
Maintainer: Peter Filzmoser <P.Filzmoser@tuwien.ac.at>
Depends: sgeostat, R (>= 2.14)
Imports: robCompositions, robustbase
Description: various methods for multivariate outlier detection.
LazyData: TRUE
License: GPL (>= 3)
URL: http://www.statistik.tuwien.ac.at/public/filz/
Packaged: 2015-01-30 09:41:02 UTC; root
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-01-30 12:59:58
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'mvoutlier' ...
** package 'mvoutlier' successfully unpacked and MD5 sums checked
** R
** data
*** moving datasets to lazyload DB
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'mvoutlier'
finding HTML links ... done
X html
Y html
aq.plot html
arw html
bhorizon html
bss.background html
bssbot html
bsstop html
chisq.plot html
chorizon html
color.plot html
cor.plot html
dat html
dd.plot html
humus html
kola.background html
locoutNeighbor html
locoutPercent html
locoutSort html
map.plot html
moss html
mvoutlier.CoDa html
pbb html
pcout html
pkb html
plot.mvoutlierCoDa html
sign1 html
sign2 html
symbol.plot html
uni.plot html
** building package indices
** testing if installed package can be loaded
* DONE (mvoutlier)
Making 'packages.html' ... done
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