BSET: A Bayesian Surrogate Evaluation Test
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) <doi:10.48550/arXiv.2603.14381>,
extending the frequentist rank-based approach of Parast et al. (2024)
<doi: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.
| Version: |
1.0 |
| Depends: |
R (≥ 3.5) |
| Imports: |
rstan, ggplot2, future, parallel, mvtnorm, dplyr, SurrogateRank, Rdpack, rlang |
| Suggests: |
knitr, rmarkdown, bookdown |
| Published: |
2026-05-22 |
| DOI: |
10.32614/CRAN.package.BSET (may not be active yet) |
| Author: |
Pietro Carlotti [aut, cre],
Layla Parast [aut] |
| Maintainer: |
Pietro Carlotti <pietro.carlotti at utexas.edu> |
| BugReports: |
https://github.com/PietroCarlotti/BSET/issues |
| License: |
GPL-3 |
| URL: |
https://pietrocarlotti.github.io/BSET/,
https://github.com/PietroCarlotti/BSET |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
BSET results |
Documentation:
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