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hdbayes: Bayesian Analysis of Generalized Linear Models with Historical Data

User-friendly functions for leveraging (multiple) historical data set(s) for generalized linear models. 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>, and the latent exchangeability prior (LEAP) by Alt et al. (2023) <doi:10.48550/arXiv.2303.05223>. The package compiles all the 'CmdStan' models once during installation using the 'instantiate' package.

Version: 0.0.3
Depends: R (≥ 4.2.0)
Imports: instantiate (≥ 0.1.0), callr, fs, formula.tools, stats, posterior, enrichwith, mclust, bridgesampling
Suggests: cmdstanr (≥ 0.6.0), parallel
Published: 2024-04-08
Author: Ethan M. Alt ORCID iD [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:

Reference manual: hdbayes.pdf

Downloads:

Package source: hdbayes_0.0.3.tar.gz
Windows binaries: r-devel: hdbayes_0.0.3.zip, r-release: hdbayes_0.0.3.zip, r-oldrel: hdbayes_0.0.3.zip
macOS binaries: r-release (arm64): hdbayes_0.0.3.tgz, r-oldrel (arm64): hdbayes_0.0.3.tgz, r-release (x86_64): hdbayes_0.0.3.tgz, r-oldrel (x86_64): hdbayes_0.0.3.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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