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Implements 'BDIB' (Bayesian dynamic information borrowing) for longitudinal outcomes with informative dropout. The package provides the mixture prior for longitudinal data borrowing (MLB) and the self-adapting mixture prior for longitudinal data information borrowing (SLB). Both methods use a shared-parameter model for outcomes and dropout.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.0.0) |
| Imports: | RBesT, jagsUI, stats |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-10-18 |
| DOI: | 10.32614/CRAN.package.BDIB |
| Author: | Saijun Zhao [aut, cre] |
| Maintainer: | Saijun Zhao <saijzhao at iu.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | BDIB results |
| Reference manual: | BDIB.html , BDIB.pdf |
| Package source: | BDIB_0.1.1.tar.gz |
| Windows binaries: | r-devel: BDIB_0.1.1.zip, r-release: BDIB_0.1.1.zip, r-oldrel: BDIB_0.1.1.zip |
| macOS binaries: | r-release (arm64): BDIB_0.1.1.tgz, r-oldrel (arm64): BDIB_0.1.1.tgz, r-release (x86_64): BDIB_0.1.1.tgz, r-oldrel (x86_64): BDIB_0.1.1.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.