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sazedR
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]
[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:
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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