| Name : R-TrendLSW
| |
| Version : 1.0.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.2
| Date : 2024-06-14 11:48:43
|
| Group : Development/Libraries/Other
| Source RPM : R-TrendLSW-1.0.2-lp153.2.2.src.rpm
|
| Size : 0.26 MB
| |
| Packager : (none)
| |
| Summary : Wavelet Methods for Analysing Locally Stationary Time Series
|
Description :
Fitting models for, and simulation of, trend locally stationary wavelet
(TLSW) time series models, which take account of time-varying trend and
dependence structure in a univariate time series. The TLSW model, and
its estimation, is described in McGonigle, Killick and Nunes (2022a)
< doi:10.1111/jtsa.12643>, (2022b) < doi:10.1214/22-EJS2044>. New users
will likely want to start with the TLSW function.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
