Package: sazedR 2.0.2
Tiago Santos
sazedR: 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: <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/>).
Authors:
sazedR_2.0.2.tar.gz
sazedR_2.0.2.tar.gz(r-4.5-noble)sazedR_2.0.2.tar.gz(r-4.4-noble)
sazedR_2.0.2.tgz(r-4.4-emscripten)sazedR_2.0.2.tgz(r-4.3-emscripten)
sazedR.pdf |sazedR.html✨
sazedR/json (API)
NEWS
# Install 'sazedR' in R: |
install.packages('sazedR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mtoller/autocorr_season_length_detection/issues
Last updated 4 years agofrom:6d710ca3fd. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-linux | OK | Oct 30 2024 |
Exports:azeazedcomputeAcfpreprocessTsSSasazedsazed.majzezed
Dependencies:bspecclidplyrfansifftwtoolsgenericsgluelatticelifecyclemagrittrpillarpkgconfigpracmaR6rlangtibbletidyselectutf8vctrswithrzoo