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sazedR  

Parameter-Free Domain-Agnostic Season Length Detection in Time Series
View on CRAN: Click here


Download and install sazedR package within the R console
Install from CRAN:
install.packages("sazedR")

Install from Github:
library("remotes")
install_github("cran/sazedR")

Install by package version:
library("remotes")
install_version("sazedR", "2.0.2")



Attach the package and use:
library("sazedR")
Maintained by
Tiago Santos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-30
Latest Update: 2020-09-29
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: ).
How to cite:
Tiago Santos (2018). sazedR: Parameter-Free Domain-Agnostic Season Length Detection in Time Series. R package version 2.0.2, https://cran.r-project.org/web/packages/sazedR
Previous versions and publish date:
1.0.0 (2018-09-30 17:10), 2.0.0 (2019-04-26 15:10), 2.0.1 (2019-09-16 23:00)
Other packages that cited sazedR R package
View sazedR citation profile
Other R packages that sazedR depends, imports, suggests or enhances
Functions, R codes and Examples using the sazedR R package
Some associated functions: S . Sa . aze . azed . computeAcf . downsample . preprocessTs . sazed.maj . sazed . sazedR . ze . zed . 
Some associated R codes: fastAcf.R . sazed.R .  Full sazedR package functions and examples
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