opardo/GPDPQuantReg: Bayesian and Nonparametric Quantile Regression Modelling
Bayesian and nonparametric quantile regression, using Gaussian Processes to model the base function and Dirichlet Processes for the error. MCMC algorithm is included.
Getting started
Browse package contents
Package details |
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| Author | Omar Pardo |
| Maintainer | Omar Pardo <omarpardog@gmail.com> |
| License | GPL-3 |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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