| Name : R-missRanger
| |
| Version : 2.6.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : 1.1
| Date : 2024-09-10 05:59:58
|
| Group : Development/Libraries/Other
| Source RPM : R-missRanger-2.6.0-1.1.src.rpm
|
| Size : 0.17 MB
| |
| Packager : (none)
| |
| Summary : Fast Imputation of Missing Values
|
Description :
Alternative implementation of the beautiful \'MissForest\' algorithm used
to impute mixed-type data sets by chaining random forests, introduced
by Stekhoven, D.J. and Buehlmann, P. (2012)
< doi:10.1093/bioinformatics/btr597>. Under the hood, it uses the
lightning fast random forest package \'ranger\'. Between the iterative
model fitting, we offer the option of using predictive mean matching.
This firstly avoids imputation with values not already present in the
original data (like a value 0.3334 in 0-1 coded variable). Secondly,
predictive mean matching tries to raise the variance in the resulting
conditional distributions to a realistic level. This would allow, e.g.,
to do multiple imputation when repeating the call to missRanger().
Out-of-sample application is supported as well.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/x86_64 |
