| Name : R-wkNNMI
| |
| Version : 1.0.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:33:17
|
| Group : Development/Libraries/Other
| Source RPM : R-wkNNMI-1.0.0-lp153.2.13.src.rpm
|
| Size : 0.07 MB
| |
| Packager : (none)
| |
| Summary : A Mutual Information-Weighted k-NN Imputation Algorithm
|
Description :
Implementation of an adaptive weighted k-nearest neighbours (wk-NN)
imputation algorithm for clinical register data developed to explicitly
handle missing values of continuous/ordinal/categorical and
static/dynamic features conjointly. For each subject with missing data
to be imputed, the method creates a feature vector constituted by the
information collected over his/her first \'window_size\' time units of
visits. This vector is used as sample in a k-nearest neighbours
procedure, in order to select, among the other patients, the ones with
the most similar temporal evolution of the disease over time. An ad hoc
similarity metric was implemented for the sample comparison, capable of
handling the different nature of the data, the presence of multiple
missing values and include the cross-information among features.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
