OutlierDetection

Outlier Detection

To detect outliers using different methods namely model based outlier detection (Barnett, V. 1978 <https://www.jstor.org/stable/2347159>), distance based outlier detection (Hautamaki, V., Karkkainen, I., and Franti, P. 2004 <http://cs.uef.fi/~franti/papers.html>), dispersion based outlier detection (Jin, W., Tung, A., and Han, J. 2001 <https://link.springer.com/chapter/10.1007/0-387-25465-X_7>), depth based outlier detection (Johnson, T., Kwok, I., and Ng, R.T. 1998 <http://www.aaai.org/Library/KDD/1998/kdd98-038.php>) and density based outlier detection (Ester, M., Kriegel, H.-P., Sander, J., and Xu, X. 1996 <https://dl.acm.org/citation.cfm?id=3001507>). This package provides labelling of observations as outliers and outlierliness of each outlier. For univariate and bivariate data, visualization is also provided.

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Description file content

Package
OutlierDetection
Type
Package
Title
Outlier Detection
Version
0.1.0
Author
Vinay Tiwari, Akanksha Kashikar
Maintainer
Vinay Tiwari
Description
To detect outliers using different methods namely model based outlier detection (Barnett, V. 1978 ), distance based outlier detection (Hautamaki, V., Karkkainen, I., and Franti, P. 2004 ), dispersion based outlier detection (Jin, W., Tung, A., and Han, J. 2001 ), depth based outlier detection (Johnson, T., Kwok, I., and Ng, R.T. 1998 ) and density based outlier detection (Ester, M., Kriegel, H.-P., Sander, J., and Xu, X. 1996 ). This package provides labelling of observations as outliers and outlierliness of each outlier. For univariate and bivariate data, visualization is also provided.
Imports
ggplot2, DDoutlier, depth, depthTools,ldbod
License
GPL-2
Encoding
UTF-8
LazyData
true
RoxygenNote
6.1.1
NeedsCompilation
no
Packaged
2019-02-03 18:56:31 UTC; Galaxy
Repository
CRAN
Date/Publication
2019-02-07 17:43:36 UTC

install.packages('OutlierDetection')

0.1.0

14 days ago

Vinay Tiwari

GPL-2

Imports

ggplot2, DDoutlier, depth, depthTools,ldbod

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