beastt: Bayesian Evaluation, Analysis, and Simulation Software Tools for Trials (original) (raw)

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 FillmoreORCID iD [aut, cre], Ben Arancibia [aut], Nate Bean ORCID iD [aut], GlaxoSmithKline Research & Development Limited [cph, fnd]

Maintainer:

Christina Fillmore <christina.e.fillmore at gsk.com>

BugReports:

https://github.com/GSK-Biostatistics/beastt/issues

License:

Apache License (≥ 2)

URL:

https://gsk-biostatistics.github.io/beastt/,https://github.com/GSK-Biostatistics/beastt

NeedsCompilation:

no

Language:

en-US

Materials:

README NEWS

CRAN checks:

beastt results