BoxCox() returns a transformation of the input variable using a Box-Cox transformation. InvBoxCox() reverses the transformation.
BoxCox(x, lambda)
InvBoxCox(x, lambda, biasadj = FALSE, fvar = NULL)a numeric vector or time series of class ts.
transformation parameter. If lambda = "auto", then
the transformation parameter lambda is chosen using BoxCox.lambda (with a lower bound of -0.9)
Use adjusted back-transformed mean for Box-Cox transformations. If transformed data is used to produce forecasts and fitted values, a regular back transformation will result in median forecasts. If biasadj is TRUE, an adjustment will be made to produce mean forecasts and fitted values.
Optional parameter required if biasadj=TRUE. Can either be the
forecast variance, or a list containing the interval level, and the
corresponding upper and lower intervals.
a numeric vector of the same length as x.
The Box-Cox transformation (as given by Bickel & Doksum 1981) is given by $$f_\lambda(x) =(sign(x)|x|^\lambda - 1)/\lambda$$ if \(\lambda\ne0\). For \(\lambda=0\), $$f_0(x)=\log(x)$$.
Box, G. E. P. and Cox, D. R. (1964) An analysis of transformations. JRSS B 26 211--246. Bickel, P. J. and Doksum K. A. (1981) An Analysis of Transformations Revisited. JASA 76 296-311.
lambda <- BoxCox.lambda(lynx)
lynx.fit <- ar(BoxCox(lynx,lambda))
plot(forecast(lynx.fit,h=20,lambda=lambda))
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