Bayesian Evaluation, Analysis, and Simulation Software Tools for Trials R package beastt version 0.0.3 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>. Software Depends: R (>= 4.1.0) Imports: cli, cobalt, distributional, dplyr, generics, ggdist, ggplot2, methods, mixtools, purrr, Rcpp (>= 0.12.0), RcppParallel (>= 5.0.1), rlang, rstan (>= 2.18.1), rstantools (>= 2.4.0), stringr, tidyr LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0), RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>= 2.18.0) Suggests: knitr, mvtnorm, rmarkdown, spelling, testthat (>= 3.0.0), tibble, vdiffr, survival Christina Fillmore <christina.e.fillmore@gsk.com> Comprehensive R Archive Network (CRAN) 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) GPL (>= 3) 2025-05-15 application/tgz https://CRAN.R-project.org/package=beastt doi:10.32614/CRAN.package.beastt en-US