| Name : R-missForest
| |
| Version : 1.5
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.10
| Date : 2024-06-14 11:07:17
|
| Group : Development/Libraries/Other
| Source RPM : R-missForest-1.5-lp153.1.10.src.rpm
|
| Size : 0.36 MB
| |
| Packager : (none)
| |
| Summary : Nonparametric Missing Value Imputation using Random Forest
|
Description :
The function \'missForest\' in this package is used to impute missing
values particularly in the case of mixed-type data. It uses a random
forest trained on the observed values of a data matrix to predict the
missing values. It can be used to impute continuous and/or categorical
data including complex interactions and non-linear relations. It yields
an out-of-bag (OOB) imputation error estimate without the need of a
test set or elaborate cross-validation. It can be run in parallel to
save computation time.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
