SubgroupBoost-package: SubgroupBoost: Value function Guided Subgrouping via Gradient...
In liupeng2117/SubgroupBoost: Value function Guided Subgrouping via Gradient Tree Boosting
Description
This package is to identify the treatment benefiting and non-benefiting subgroups based on baseline characteristics. It searches for subgorup membership scores by maximizing a RMST or win-ratio based value function that directly reflects the subgroup-treatment interaction effect via gradient tree boosting.
Author(s)
Maintainer: Peng Liu peng.liu9@merck.com (ORCID)
liupeng2117/SubgroupBoost documentation built on Feb. 7, 2022, 1 p.m.
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Description
This package is to identify the treatment benefiting and non-benefiting subgroups based on baseline characteristics. It searches for subgorup membership scores by maximizing a RMST or win-ratio based value function that directly reflects the subgroup-treatment interaction effect via gradient tree boosting.
Author(s)
Maintainer: Peng Liu peng.liu9@merck.com (ORCID)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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