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.
| 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:
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