BDIB: Bayesian Dynamic Information Borrowing for Longitudinal Data with Informative Dropout

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 (may not be active yet)
Author:	Saijun Zhao [aut, cre]
Maintainer:	Saijun Zhao <saijzhao at iu.edu>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	BDIB results

Documentation:

Reference manual:

BDIB.html , BDIB.pdf

Downloads:

Package source:	BDIB_0.1.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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