| Name : R-modi
| |
| Version : 0.1.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-06-14 11:01:32
|
| Group : Development/Libraries/Other
| Source RPM : R-modi-0.1.2-lp153.1.5.src.rpm
|
| Size : 0.64 MB
| |
| Packager : (none)
| |
| Summary : Multivariate Outlier Detection and Imputation for Incomplete Survey Data
|
Description :
Algorithms for multivariate outlier detection when missing values
occur. Algorithms are based on Mahalanobis distance or data depth.
Imputation is based on the multivariate normal model or uses nearest
neighbour donors. The algorithms take sample designs, in particular
weighting, into account. The methods are described in Bill and Hulliger
(2016) < doi:10.17713/ajs.v45i1.86>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
