tsoutliers (0.6-3)

Detection of Outliers in Time Series.


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

Maintainer: Javier L?pez-de-Lacalle
Author(s): Javier Lpez-de-Lacalle <javlacalle@yahoo.es>

License: GPL-2

Uses: forecast, KFKSDS, polynom, stsm

Released over 3 years ago.