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cff-version: 1.2.0
message: 'To cite package "BSET" in publications use:'
type: software
license: GPL-3.0-only
title: 'BSET: A Bayesian Surrogate Evaluation Test'
version: '1.0'
doi: 10.32614/CRAN.package.BSET
abstract: An implementation of the Bayesian Surrogate Evaluation Test (BSET) for assessing
  the validity of surrogate markers in clinical trials. Provides hypothesis testing
  tools to evaluate whether a surrogate can reliably estimate the causal effect of
  a treatment on a primary outcome. Implements the imputation-based Bayesian methodology
  of Carlotti and Parast (2026) <https://doi.org/10.48550/arXiv.2603.14381>, extending
  the frequentist rank-based approach of Parast et al. (2024) <https://doi.org/10.1093/biomtc/ujad035>.
  Addresses key limitations of the frequentist method, including the lack of causal
  interpretability and the inability to adjust for covariates in the estimation process.
authors:
- family-names: Carlotti
  given-names: Pietro
  email: pietro.carlotti@utexas.edu
- family-names: Parast
  given-names: Layla
  email: parast@austin.utexas.edu
repository: https://pietrocarlotti.r-universe.dev
repository-code: https://github.com/PietroCarlotti/BSET
commit: 5977ba8a59547383447ea2b8fd06473186cd663f
url: https://pietrocarlotti.github.io/BSET/
date-released: '2026-05-15'
contact:
- family-names: Carlotti
  given-names: Pietro
  email: pietro.carlotti@utexas.edu