Package: sazedR Type: Package Title: Parameter-Free Domain-Agnostic Season Length Detection in Time Series Version: 2.0.2 Authors@R: c( person("Maximilian", "Toller", , "maximilian.toller@student.tugraz.at", c("aut")), person("Tiago", "Santos", , "teixeiradossantos@tugraz.at", c("aut", "cre")), person("Roman", "Kern", , "rkern@know-center.at", c("aut")) ) Description: 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: ) and by Bob Carpenter (2012, URL: ). License: GPL-2 URL: https://github.com/mtoller/autocorr_season_length_detection/ Encoding: UTF-8 Imports: bspec (>= 1.5), dplyr (>= 0.8.0.1), fftwtools (>= 0.9.8), pracma (>= 2.1.4), zoo (>= 1.8-3) RoxygenNote: 6.1.1 NeedsCompilation: no Packaged: 2026-09-27 09:41:26 UTC; root Author: Maximilian Toller [aut], Tiago Santos [aut, cre], Roman Kern [aut] Maintainer: Tiago Santos Repository: https://cran.r-universe.dev Date/Publication: 2020-09-29 17:30:02 UTC RemoteUrl: https://github.com/cran/sazedR RemoteRef: HEAD RemoteSha: 6d710ca3fd25b6ee7582c4990dc5274562be07af