Modelbased trees for subgroup analyses in clinical trials and modelbased forests for the estimation and prediction of personalised treatment effects (personalised models). Currently partitioning of linear models, lm(), generalised linear models, glm(), and Weibull models, survreg(), is supported. Advanced plotting functionality is supported for the trees and a test for parameter heterogeneity is provided for the personalised models. For details on modelbased trees for subgroup analyses see Seibold, Zeileis and Hothorn (2016) <doi:10.1515/ijb20150032>; for details on modelbased forests for estimation of individual treatment effects see Seibold, Zeileis and Hothorn (2017) <doi:10.1177/0962280217693034>.
Package details 


Author  Heidi Seibold [aut, cre], Achim Zeileis [aut], Torsten Hothorn [aut] 
Maintainer  Heidi Seibold <[email protected]> 
License  GPL2  GPL3 
Version  0.94 
Package repository  View on RForge 
Installation 
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