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.

Version: 0.0.1
Depends: R (≥ 2.10)
Imports: cli, cobalt, dplyr, generics, ggplot2, purrr, rlang, stringr, distributional, tidyr, ggdist, mixtools
Suggests: knitr, rmarkdown, spelling, testthat (≥ 3.0.0), tibble
Published: 2024-06-20
DOI: 10.32614/CRAN.package.beastt
Author: Christina Fillmore ORCID iD [aut, cre], Ben Arancibia [aut], Nate Bean ORCID iD [aut], GlaxoSmithKline Research & Development Limited [cph, fnd]
Maintainer: Christina Fillmore <christina.e.fillmore at>
License: Apache License (≥ 2)
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: beastt results


Reference manual: beastt.pdf
Vignettes: Binary Endpoint Case - Borrowing from an External Control Arm
Normal Endpoint Case with Assumed Known SD - Borrowing from an External Control Arm


Package source: beastt_0.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): beastt_0.0.1.tgz, r-oldrel (arm64): beastt_0.0.1.tgz, r-release (x86_64): beastt_0.0.1.tgz, r-oldrel (x86_64): beastt_0.0.1.tgz


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