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meshed: Bayesian Regression with Meshed Gaussian Processes
Fits Bayesian regression models based on latent Meshed Gaussian Processes (MGP) as described in Peruzzi, Banerjee, Finley (2020) <doi:10.1080/01621459.2020.1833889>, Peruzzi, Banerjee, Dunson, and Finley (2021) <arXiv:2101.03579>, Peruzzi and Dunson (2022) <arXiv:2201.10080>. Funded by ERC grant 856506 and NIH grant R01ES028804.
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Package details |
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| Author | Michele Peruzzi |
| Maintainer | Michele Peruzzi <michele.peruzzi@duke.edu> |
| License | GPL (>= 3) |
| Version | 0.2.3 |
| Package repository | View on CRAN |
| Installation |
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