README.md

In tommasorigon/DLSBP: Tractable Bayesian density regression via logit stick-breaking priors

LSBP: Bayesian density regression via logit stick-breaking

The repository includes the R functions to implement the logit stick-breaking process model of the paper:

• Rigon, T. and Durante, D. (2020). Tractable Bayesian Density Regression via Logit Stick-Breaking Priors, Journal of Statistical Planning and Inference.

The LSBP package can be installed by running the following commands:

# If the devtools R package is not already installed
# install.packages("devtools")

devtools::install_github("tommasorigon/LSBP")

Alternatively, install the R package from the source file LSBP_VERSION.tar.gz with R CMD INSTALL LSBP_VERSION.tar.gz.

The documentation of the LSBP package is available in this repository. The file tutorial.md contains detailed instruction for reproducing the epidemiological application of Section 4 in the paper.

tommasorigon/DLSBP documentation built on Feb. 28, 2023, 8:50 a.m.