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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>.

Versions across snapshots

VersionRepositoryFileSize
0.0.3 rolling linux/jammy R-4.5 beastt_0.0.3.tar.gz 1.5 MiB
0.0.3 rolling linux/noble R-4.5 beastt_0.0.3.tar.gz 1.5 MiB
0.0.3 rolling source/ R- beastt_0.0.3.tar.gz 760.8 KiB
0.0.3 latest linux/jammy R-4.5 beastt_0.0.3.tar.gz 1.5 MiB
0.0.3 latest linux/noble R-4.5 beastt_0.0.3.tar.gz 1.5 MiB
0.0.3 latest source/ R- beastt_0.0.3.tar.gz 760.8 KiB
0.0.3 2026-04-26 source/ R- beastt_0.0.3.tar.gz 760.8 KiB
0.0.3 2026-04-23 source/ R- beastt_0.0.3.tar.gz 760.8 KiB
0.0.3 2026-04-09 windows/windows R-4.5 beastt_0.0.3.zip 1.7 MiB
0.0.2 2025-04-20 source/ R- beastt_0.0.2.tar.gz 695.2 KiB

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