hdbayes
Bayesian Analysis of Generalized Linear Models with Historical Data
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) doi:10.1214/ss/1009212673, normalized power prior by Duan et al. (2006) doi:10.1002/env.752, normalized asymptotic power prior by Ibrahim et al. (2015) doi:10.1002/sim.6728, commensurate prior by Hobbs et al. (2011) doi:10.1111/j.1541-0420.2011.01564.x, robust meta-analytic-predictive prior by Schmidli et al. (2014) doi:10.1111/biom.12242, the latent exchangeability prior by Alt et al. (2023) 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.
- Version0.1.1
- R version≥ 4.2.0
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- Last release08/22/2024
Documentation
Team
Ethan M. Alt
Joseph G. Ibrahim
Show author detailsRolesAuthorXinxin Chen
Show author detailsRolesAuthorLuiz M. Carvalho
Show author detailsRolesAuthorXiuya Chang
Show author detailsRolesContributor
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- Imports9 packages
- Suggests5 packages