hdbayes

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.

Last 30 days

This package has been downloaded 127 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 1,970 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Apr 11, 2024 with 43 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.