| Name : R-DTRlearn2
| |
| Version : 1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.4.7
| Date : 2024-06-14 11:40:02
|
| Group : Development/Libraries/Other
| Source RPM : R-DTRlearn2-1.1-lp153.4.7.src.rpm
|
| Size : 0.12 MB
| |
| Packager : (none)
| |
| Summary : Statistical Learning Methods for Optimizing Dynamic Treatment Regimes
|
Description :
We provide a comprehensive software to estimate general K-stage DTRs
from SMARTs with Q-learning and a variety of outcome-weighted learning
methods. Penalizations are allowed for variable selection and model
regularization. With the outcome-weighted learning scheme, different
loss functions - SVM hinge loss, SVM ramp loss, binomial deviance loss,
and L2 loss - are adopted to solve the weighted classification problem
at each stage; augmentation in the outcomes is allowed to improve
efficiency. The estimated DTR can be easily applied to a new sample for
individualized treatment recommendations or DTR evaluation.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
