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)
Package details 


Author  Heidi Seibold [aut, cre], Achim Zeileis [aut], Torsten Hothorn [aut] 
Date of publication  20180612 07:06:46 
Maintainer  Heidi Seibold <[email protected]> 
License  GPL2  GPL3 
Version  0.92 
Package repository  View on RForge 
Installation 
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