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).
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
