MateusMaiaDS/gpbart: GP-BART: Gaussian Processes Bayesian Additive Regression Trees
Implementation of GP-BART algorithm, which is a novel extension to Bayesian Additive Regression Trees as an extension of BART which assumes Gaussian process (GP) priors for the predictions of each terminal node among all trees For more details check Maia et. al (2022) < "https://doi.org/10.48550/arXiv.2204.02112">.
Getting started
Browse package contents
Package details |
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| Maintainer | Mateus Maia <mateus.maiamarques.2021@mumail.ie> |
| License | MIT + file LICENSE |
| Version | 0.0.0.9000 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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