Package: ICSOutlier 0.4-1

Klaus Nordhausen

ICSOutlier: Outlier Detection Using Invariant Coordinate Selection

Multivariate outlier detection is performed using invariant coordinates where the package offers different methods to choose the appropriate components. ICS is a general multivariate technique with many applications in multivariate analysis. ICSOutlier offers a selection of functions for automated detection of outliers in the data based on a fitted ICS object or by specifying the dataset and the scatters of interest. The current implementation targets data sets with only a small percentage of outliers.

Authors:Klaus Nordhausen [aut, cre], Aurore Archimbaud [aut], Anne Ruiz-Gazen [aut]

ICSOutlier_0.4-1.tar.gz
ICSOutlier_0.4-1.zip(r-4.7-any)ICSOutlier_0.4-1.zip(r-4.6-any)
ICSOutlier_0.4-1.tar.gz(r-4.7-any)ICSOutlier_0.4-1.tar.gz(r-4.6-any)
ICSOutlier_0.4-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ICSOutlier/json (API)

# Install 'ICSOutlier' in R:
install.packages('ICSOutlier', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • HTP - Production Measurements of High-Tech Parts - Full Rank Case
  • HTP2 - Production Measurements of High-Tech Parts - Singular Case
  • HTP3 - Production Measurements of High-Tech Parts - Nearly Singular Case

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.64 score 1 packages 31 scripts 4.7k downloads 10 exports 13 dependencies

Last updated from:33e7873e44. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK216
source / vignettesOK250
linux-releaseOK198
windows-develOK159
windows-releaseOK149
wasm-releaseOK132

Exports:comp_norm_testcomp_simu_testcomp.norm.testcomp.simu.testdist_simu_testdist.simu.testics_distancesICS_outlierics.distancesics.outlier

Dependencies:DBIICSlatticeMatrixminqamitoolsmomentsmvtnormnumDerivRcppRcppArmadillosurveysurvival