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

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

## Arguments

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 |

## Value

Time series

## See also

`na.interp`

,
`tsoutliers`

, `supsmu`

## Examples

cleangold <- tsclean(gold)