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hdbayes  

Bayesian Analysis of Generalized Linear Models with Historical Data
View on CRAN: Click here


Download and install hdbayes package within the R console
Install from CRAN:
install.packages("hdbayes")

Install from Github:
library("remotes")
install_github("cran/hdbayes")

Install by package version:
library("remotes")
install_version("hdbayes", "0.1.1")



Attach the package and use:
library("hdbayes")
Maintained by
Ethan M. Alt
[Scholar Profile | Author Map]
First Published: 2024-04-08
Latest Update: 2024-04-08
Description:
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) , normalized power prior by Duan et al. (2006) , normalized asymptotic power prior by Ibrahim et al. (2015) , commensurate prior by Hobbs et al. (2011) , robust meta-analytic-predictive prior by Schmidli et al. (2014) , and the latent exchangeability prior (LEAP) by Alt et al. (2023) . The package compiles all the 'CmdStan' models once during installation using the 'instantiate' package.
How to cite:
Ethan M. Alt (2024). hdbayes: Bayesian Analysis of Generalized Linear Models with Historical Data. R package version 0.1.1, https://cran.r-project.org/web/packages/hdbayes. Accessed 17 Feb. 2025.
Previous versions and publish date:
0.0.3 (2024-04-08 16:50)
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Complete documentation for hdbayes
Functions, R codes and Examples using the hdbayes R package
Full hdbayes package functions and examples
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