| Name : R-kfino
| |
| Version : 1.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.7
| Date : 2024-06-14 11:53:40
|
| Group : Development/Libraries/Other
| Source RPM : R-kfino-1.0.0-lp153.2.7.src.rpm
|
| Size : 2.48 MB
| |
| Packager : (none)
| |
| Summary : Kalman Filter for Impulse Noised Outliers
|
Description :
A method for detecting outliers with a Kalman filter on impulsed noised
outliers and prediction on cleaned data. \'kfino\' is a robust sequential
algorithm allowing to filter data with a large number of outliers. This
algorithm is based on simple latent linear Gaussian processes as in the
Kalman Filter method and is devoted to detect impulse-noised outliers.
These are data points that differ significantly from other
observations. \'ML\' (Maximization Likelihood) and \'EM\'
(Expectation-Maximization algorithm) algorithms were implemented in
\'kfino\'. The method is described in full details in the following arXiv
e-Print: < arXiv:2208.00961>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
