
Identifies outliers in univariate time series using the algorithm lookout.
Source:R/lookout_ts.R
lookout_ts.Rd
This is the time series implementation of lookout which identifies outliers in the double differenced time series.
Arguments
- x
The input univariate time series.
- scale
If
TRUE
, the data is standardized. Using the old version, unit scaling is applied so that each column is in the range[0,1]
. Under the new version, robust rotation and scaling is used so that the columns are approximately uncorrelated with unit variance. Default isTRUE
.- ...
Other arguments are passed to
lookout
.