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: 
    <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/>).
License: GPL-2
URL: https://github.com/mtoller/autocorr_season_length_detection/
Encoding: UTF-8
LazyData: true
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: 2020-09-29 18:09:12 UTC; rstudio
Author: Maximilian Toller [aut],
  Tiago Santos [aut, cre],
  Roman Kern [aut]
Maintainer: Tiago Santos <teixeiradossantos@tugraz.at>
Repository: CRAN
Date/Publication: 2020-09-29 18:30:02 UTC
Built: R 4.6.0; ; 2026-04-26 14:59:45 UTC; unix
