Parameter-Free Domain-Agnostic Season Length Detection in Time Series R package sazedR version 2.0.2 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) 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/>). Software Imports: bspec (>= 1.5), dplyr (>= 0.8.0.1), fftwtools (>= 0.9.8), pracma (>= 2.1.4), zoo (>= 1.8-3) Tiago Santos <teixeiradossantos@tugraz.at> Comprehensive R Archive Network (CRAN) Maximilian Toller [aut], Tiago Santos [aut, cre], Roman Kern [aut] GPL-2 2020-09-29 application/tgz https://CRAN.R-project.org/package=sazedR doi:10.32614/CRAN.package.sazedR