hdbayes-package | R Documentation |
User-friendly functions for leveraging (multiple) historical data set(s) for generalized linear models. The package contains functions for sampling from the posterior distribution of a generalized linear model using the prior induced by the Bayesian hierarchical model, power prior by Ibrahim and Chen (2000) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1214/ss/1009212673")}, normalized power prior by Duan et al. (2006) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/env.752")}, normalized asymptotic power prior by Ibrahim et al. (2015) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/sim.6728")}, commensurate prior by Hobbs et al. (2011) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/j.1541-0420.2011.01564.x")}, robust meta-analytic-predictive prior by Schmidli et al. (2014) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/biom.12242")}, the latent exchangeability prior by Alt et al. (2023) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.48550/arXiv.2303.05223")}, and a normal (or half-normal) prior. Functions for computing the marginal log-likelihood under each of the implemented priors are also included. The package compiles all the 'CmdStan' models once during installation using the 'instantiate' package.
Bayesian analysis of generalized linear models using historical data
Maintainer: Ethan M. Alt ethanalt@live.unc.edu (ORCID) [copyright holder]
Authors:
Xinxin Chen
Luiz M. Carvalho
Joseph G. Ibrahim
Other contributors:
Xiuya Chang [contributor]
Useful links:
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