Uses supsmu for non-seasonal series and a robust STL decomposition for seasonal series. To estimate missing values and outlier replacements, linear interpolation is used on the (possibly seasonally adjusted) series

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

## Arguments

x time series If TRUE, it not only replaces outliers, but also interpolates missing values Box-Cox transformation parameter. If lambda="auto", then a transformation is automatically selected using BoxCox.lambda. The transformation is ignored if NULL. Otherwise, data transformed before model is estimated.

## Value

Time series

na.interp, tsoutliers, supsmu

cleangold <- tsclean(gold)