The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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:

Reference manual: BSET.html , BSET.pdf
Vignettes: BSET Tutorial (source, R code)

Downloads:

Package source: BSET_1.0.tar.gz
Windows binaries: r-devel: not available, r-release: BSET_1.0.zip, r-oldrel: BSET_1.0.zip
macOS binaries: r-release (arm64): BSET_1.0.tgz, r-oldrel (arm64): BSET_1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BSET to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.