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.
Version: 0.1.1 Depends: R (≥ 4.2.0) Imports: instantiate (≥ 0.1.0), callr, fs, formula.tools, stats, posterior, enrichwith, mclust, bridgesampling, mvtnorm Suggests: cmdstanr (≥ 0.6.0), ggplot2, knitr, parallel, rmarkdown, tibble, dplyr Published: 2024-08-22 DOI: 10.32614/CRAN.package.hdbayes Author: Ethan M. Alt [aut, cre, cph], Xinxin Chen [aut], Luiz M. Carvalho [aut], Joseph G. Ibrahim [aut], Xiuya Chang [ctb] Maintainer: Ethan M. Alt <ethanalt at live.unc.edu> BugReports: https://github.com/ethan-alt/hdbayes/issues License: MIT + file LICENSE URL: https://github.com/ethan-alt/hdbayes NeedsCompilation: yes SystemRequirements: CmdStan (https://mc-stan.org/users/interfaces/cmdstan) Additional_repositories: https://mc-stan.org/r-packages/ Materials: NEWS CRAN checks: hdbayes results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=hdbayes to link to this page.
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