tommasorigon/LSBP: Tractable Bayesian density regression via logit stick-breaking priors
Bayesian density regression via logit stick-breaking priors. The LSBP package is an implementation of the algorithms described in: Rigon, T. and Durante, D. (2020).
Getting started
Browse package contents
Package details |
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| Author | Tommaso Rigon |
| Maintainer | Tommaso Rigon <tommaso.rigon@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.0.4 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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