tsclean: Identify and replace outliers and missing values in a time...
In a1967fa/f-cast: Forecasting Functions for Time Series and Linear Models

Description Usage Arguments Value Author(s) See Also Examples

Uses supsmu for non-seasonal series and a periodic stl decomposition with seasonal series to identify outliers. To estimate missing values and outlier replacements, linear interpolation is used on the (possibly seasonally adjusted) series

1	tsclean(x, replace.missing = TRUE, lambda = NULL)

`x`	time series
`replace.missing`	If TRUE, it not only replaces outliers, but also interpolates missing values
`lambda`	a numeric value giving the Box-Cox transformation parameter