| Name : R-missForestPredict
| |
| Version : 1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.1.1
| Date : 2024-09-10 03:21:31
|
| Group : Development/Libraries/Other
| Source RPM : R-missForestPredict-1.0-lp156.1.1.src.rpm
|
| Size : 0.32 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Missing Value Imputation using Random Forest for Prediction Settings
|
Description :
Missing data imputation based on the \'missForest\' algorithm (Stekhoven,
Daniel J (2012) < doi:10.1093/bioinformatics/btr597>) with adaptations
for prediction settings. The function missForest() is used to impute a
(training) dataset with missing values and to learn imputation models
that can be later used for imputing new observations. The function
missForestPredict() is used to impute one or multiple new observations
(test set) using the models learned on the training data.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
