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Randomintercept accelerated failure time (AFT) model utilizing Bayesian additive regression trees (BART) for drawing causal inferences about multiple treatments while accounting for the multilevel survival data structure. It also includes an interpretable sensitivity analysis approach to evaluate how the drawn causal conclusions might be altered in response to the potential magnitude of departure from the no unmeasured confounding assumption.
Package details 


Author  Liangyuan Hu [aut], Jiayi Ji [aut, cre] 
Maintainer  Jiayi Ji <jj869@sph.rutgers.edu> 
License  MIT + file LICENSE 
Version  0.3.2 
Package repository  View on CRAN 
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