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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
|
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 |
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: beastt_0.0.1.zip, r-release: beastt_0.0.1.zip, r-oldrel: beastt_0.0.1.zip |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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