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beastt: Bayesian Evaluation, Analysis, and Simulation Software Tools for Trials
Bayesian dynamic borrowing with covariate adjustment via inverse probability weighting for simulations and data analyses in clinical trials. This makes it easy to use propensity score methods to balance covariate distributions between external and internal data. This methodology based on Psioda et al (2025) <doi:10.1080/10543406.2025.2489285>.
Getting started
Browse package contents
Package details |
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| Author | Christina Fillmore [aut, cre] (ORCID: <https://orcid.org/0000-0003-0595-2302>), Nate Bean [aut] (ORCID: <https://orcid.org/0000-0001-9946-0119>), Abi Terry [aut], Ben Arancibia [aut], GlaxoSmithKline Research & Development Limited [cph, fnd], Trustees of Columbia University [cph] (R/stanmodels.R, configure, configure.win) |
| Maintainer | Christina Fillmore <christina.e.fillmore@gsk.com> |
| License | GPL (>= 3) |
| Version | 0.0.3 |
| URL | https://gsk-biostatistics.github.io/beastt/ https://github.com/GSK-Biostatistics/beastt |
| Package repository | View on CRAN |
| Installation |
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