| Name : R-dSTEM
| |
| Version : 2.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-06-14 11:05:41
|
| Group : Development/Libraries/Other
| Source RPM : R-dSTEM-2.0.1-lp153.1.5.src.rpm
|
| Size : 0.10 MB
| |
| Packager : (none)
| |
| Summary : Multiple Testing of Local Extrema for Detection of Change Points
|
Description :
Simultaneously detect the number and locations of change points in
piecewise linear models under stationary Gaussian noise allowing
autocorrelated random noise. The core idea is to transform the problem
of detecting change points into the detection of local extrema (local
maxima and local minima)through kernel smoothing and differentiation of
the data sequence, see Cheng et al. (2020) < doi:10.1214/20-EJS1751>. A
low-computational and fast algorithm call \'dSTEM\' is introduced to
detect change points based on the \'STEM\' algorithm in D. Cheng and A.
Schwartzman (2017) < doi:10.1214/16-AOS1458>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
