| Name : R-LogicForest
| |
| Version : 2.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.2
| Date : 2024-06-14 11:14:30
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| Group : Development/Libraries/Other
| Source RPM : R-LogicForest-2.1.1-lp153.2.2.src.rpm
|
| Size : 0.09 MB
| |
| Packager : (none)
| |
| Summary : Logic Forest
|
Description :
Two classification ensemble methods based on logic regression models.
LogForest() uses a bagging approach to construct an ensemble of logic
regression models. LBoost() uses a combination of boosting and
cross-validation to construct an ensemble of logic regression models.
Both methods are used for classification of binary responses based on
binary predictors and for identification of important variables and
variable interactions predictive of a binary outcome. Wolf, B.J.,
Slate, E.H., Hill, E.G. (2010) < doi:10.1093/bioinformatics/btq354>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
