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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.
Getting started
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Package details |
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| Author | Saijun Zhao [aut, cre] |
| Maintainer | Saijun Zhao <saijzhao@iu.edu> |
| License | GPL-3 |
| Version | 0.1.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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