sazedR (2.0.1)

0 users

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: ) and by Bob Carpenter (2012, URL: ).

Maintainer: Tiago Santos
Author(s): Maximilian Toller [aut], Tiago Santos [aut, cre], Roman Kern [aut]

License: GPL-2

Uses: bspec, dplyr, fftwtools, pracma, zoo

Released about 1 month ago.

2 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of sazedR yet. Want to be the first? Write one now.

Related packages: ArDec, Ecdat, TSdbi, boot, brainwaver, chron, cts, depmix, dlm, dse, dyn, dynlm, ensembleBMA, fGarch, fNonlinear, fame, fracdiff, fractal, kza, mAr(20 best matches, based on common tags.)

Search for sazedR on google, google scholar, r-help, r-devel.

Visit sazedR on R Graphical Manual.