I am dealing with a seasonal time series data. In order to ger rid of the nonstationarity of the variance, i need to perform power tranformation to the data and choose the best lambda value. In Mass package, there is a function called 'boxcox' to do power tranformation but it only deals with linear model. Is there anyone who knows the other function that cannot perform power tranformation to time series data? Thanks! -- View this message in context: http://www.nabble.com/how-to-do-power-transformation-for-time-series-data--tp20157719p20157719.html Sent from the R help mailing list archive at Nabble.com.
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