| Name : R-sazedR
| |
| Version : 2.0.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.6.7
| Date : 2024-06-14 11:56:36
|
| Group : Development/Libraries/Other
| Source RPM : R-sazedR-2.0.2-lp153.6.7.src.rpm
|
| Size : 0.05 MB
| |
| Packager : (none)
| |
| Summary : Parameter-Free Domain-Agnostic Season Length Detection in Time Series
|
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/>).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
