| Name : R-fdaoutlier
| |
| Version : 0.2.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-06-14 11:06:22
|
| Group : Development/Libraries/Other
| Source RPM : R-fdaoutlier-0.2.1-lp153.1.5.src.rpm
|
| Size : 0.73 MB
| |
| Packager : (none)
| |
| Summary : Outlier Detection Tools for Functional Data Analysis
|
Description :
A collection of functions for outlier detection in functional data
analysis. Methods implemented include directional outlyingness by Dai
and Genton (2019) < doi:10.1016/j.csda.2018.03.017>, MS-plot by Dai and
Genton (2018) < doi:10.1080/10618600.2018.1473781>, total variation
depth and modified shape similarity index by Huang and Sun (2019)
< doi:10.1080/00401706.2019.1574241>, and sequential transformations by
Dai et al. (2020) < doi:10.1016/j.csda.2020.106960 among others.
Additional outlier detection tools and depths for functional data like
functional boxplot, (modified) band depth etc., are also available.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
