| Name : R-tsrobprep
| |
| Version : 0.3.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.7
| Date : 2024-06-14 11:46:22
|
| Group : Development/Libraries/Other
| Source RPM : R-tsrobprep-0.3.2-lp153.2.7.src.rpm
|
| Size : 0.20 MB
| |
| Packager : (none)
| |
| Summary : Robust Preprocessing of Time Series Data
|
Description :
Methods for handling the missing values outliers are introduced in this
package. The recognized missing values and outliers are replaced using
a model-based approach. The model may consist of both autoregressive
components and external regressors. The methods work robust and
efficient, and they are fully tunable. The primary motivation for
writing the package was preprocessing of the energy systems data, e.g.
power plant production time series, but the package could be used with
any time series data. For details, see Narajewski et al. (2021)
< doi:10.1016/j.softx.2021.100809>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
