tsoutliers: Detection of Outliers in Time Series

Detection of outliers in time series following the Chen and Liu (1993) procedure. Innovative outliers, additive outliers, level shifts, temporary changes and seasonal level shifts are considered.

Version: 0.6
Depends: R (≥ 3.0.0)
Imports: forecast, polynom, stsm, KFKSDS
Published: 2015-01-27
Author: Javier López-de-Lacalle
Maintainer: Javier López-de-Lacalle <javlacalle at yahoo.es>
License: GPL-2
URL: http://jalobe.com
NeedsCompilation: no
Materials: NEWS
In views: TimeSeries
CRAN checks: tsoutliers results

Downloads:

Reference manual: tsoutliers.pdf
Vignettes: tsoutliers-intro
Package source: tsoutliers_0.6.tar.gz
Windows binaries: r-devel: tsoutliers_0.6.zip, r-release: tsoutliers_0.6.zip, r-oldrel: tsoutliers_0.6.zip
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: tsoutliers_0.6.tgz
Old sources: tsoutliers archive