High-Performance Open-Source Archive
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>.
| Version: | 0.0.3 |
| 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 |
| Published: | 2025-05-15 |
| DOI: | 10.32614/CRAN.package.beastt |
| Author: | Christina Fillmore
|
| Maintainer: | Christina Fillmore <christina.e.fillmore at gsk.com> |
| BugReports: | https://github.com/GSK-Biostatistics/beastt/issues |
| License: | GPL (≥ 3) |
| URL: | https://gsk-biostatistics.github.io/beastt/, https://github.com/GSK-Biostatistics/beastt |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | beastt results |
| Reference manual: | beastt.html , beastt.pdf |
| Vignettes: |
Binary Outcome (source, R code) Normal Outcome (Known SD) (source, R code) Time-to-Event Outcome (source, R code) |
| Package source: | beastt_0.0.3.tar.gz |
| Windows binaries: | r-devel: beastt_0.0.3.zip, r-release: beastt_0.0.3.zip, r-oldrel: beastt_0.0.3.zip |
| macOS binaries: | r-release (arm64): beastt_0.0.3.tgz, r-oldrel (arm64): beastt_0.0.3.tgz, r-release (x86_64): beastt_0.0.3.tgz, r-oldrel (x86_64): beastt_0.0.3.tgz |
| Old sources: | beastt archive |
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