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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "riAFTBART" in publications use:'
type: software
license: MIT
title: 'riAFTBART: A Flexible Approach for Causal Inference with Multiple Treatments
  and Clustered Survival Outcomes'
version: 0.3.3
doi: 10.32614/CRAN.package.riAFTBART
abstract: Random-intercept 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.This package implements the methods described
  by Hu et al. (2022) <https://doi.org/10.1002/sim.9548>.
authors:
- family-names: Hu
  given-names: Liangyuan
  email: lh707@sph.rutgers.edu
- family-names: Ji
  given-names: Jiayi
  email: jj869@sph.rutgers.edu
- family-names: Zhang
  given-names: Fengrui
  email: fz174@sph.rutgers.edu
repository: https://freyrray.r-universe.dev
commit: d7493e0d6f4fbecb53986dba6aeb928465b235ba
date-released: '2024-05-29'
contact:
- family-names: Zhang
  given-names: Fengrui
  email: fz174@sph.rutgers.edu