README.md

In umich-biostatistics/AdaptiveBayesianUpdates: Adaptive Bayesian Updates

R package adaptBayes

The adaptBayes R packages provides code to accompany the methodology developed in Boonstra and Barbaro (2020). The sensible adaptive bayesian update is implemented in glm_sab() and the naive adaptive bayesian update is implemented in glm_nab(). A non-adaptive version of the sensible bayesian update is provided in glm_sb(). An extended version of the sensible and sensible adaptive priors are provided in glm_sb2() and glm_sab2().

library(devtools)
# may take some time:
install_github('umich-biostatistics/adaptBayes') 

library(adaptBayes)

A companion repository for this package exists at https://www.github.com/psboonstra/AdaptiveBayesianUpdates, which contains a vignette (vignette.pdf) on using the adaptive priors in this package as well as code for running the simulation studies in Boonstra and Barbaro (2020).

Current Suggested Citation

Boonstra, Philip S. and Barbaro, Ryan P., "Incorporating Historical Models with Adaptive Bayesian Updates" (2020) Biostatistics 21, e47--e64 https://doi.org/10.1093/biostatistics/kxy053

Boonstra, Philip S. and Kleinsasser, Michael, "adaptBayes: R package for adaptive Bayesian updates" (2022) R package version 2.0.0. https://github.com/umich-biostatistics/adaptBayes

Authors' Copy

umich-biostatistics/AdaptiveBayesianUpdates documentation built on April 26, 2024, 2:11 a.m.