Last released Mar 25, 2023
Generates posterior samples under Bayesian sparse regression based on the bridge prior using the CG-accelerated Gibbs sampler of Nishimura et. al. (2018). The linear and logistic model are currently supported.
Last released Feb 15, 2020
Python analogue of the R coda package
Supported by
