sazedR:Parameter-Free Domain-Agnostic Season Length Detection in Time
Series
Spectral and Average Autocorrelation Zero Distance Density ('sazed') is a method for estimating the season length of a
seasonal time series. 'sazed' is aimed at practitioners, as it
employs only domain-agnostic preprocessing and does not depend
on parameter tuning or empirical constants. The computation of
'sazed' relies on the efficient autocorrelation computation
methods suggested by Thibauld Nion (2012, URL:
<https://etudes.tibonihoo.net/literate_musing/autocorrelations.html>)
and by Bob Carpenter (2012, URL:
<https://lingpipe-blog.com/2012/06/08/autocorrelation-fft-kiss-eigen/>).
