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  "Title": "Bayesian Dynamic Information Borrowing for Longitudinal Data\nwith Informative Dropout",
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  "Description": "Implements 'BDIB' (Bayesian dynamic information borrowing)\nfor longitudinal outcomes with informative dropout. The package\nprovides the mixture prior for longitudinal data borrowing\n(MLB) and the self-adapting mixture prior for longitudinal data\ninformation borrowing (SLB). Both methods use a\nshared-parameter model for outcomes and dropout.",
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  "Maintainer": "Saijun Zhao <saijzhao@iu.edu>",
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