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The optimal span is calculated based upon the bayesian information criterion (BIC).
optimal_span( y, x = NULL, weights = NULL, step = 0.01, label = NULL, plot = FALSE )
Returns an optimal span to smooth a provided vector using the `loess()` smoother.
a vector with measurement values to smooth
a vector with dates / time steps
optional values to weigh the loess fit with
span increment size
title to be used when plotting function output
plot visual output of the optimization routine
if (FALSE) { # Internal function only, should not be used stand-alone. l <- sin(seq(1,10,0.01)) l <- l + runif(length(l)) optimal_span(l, plot = TRUE) }
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