lb664/BVS4GCR: Bayesian Variable Selection for Gaussian Copula Regression models
This package performs Bayesian predictors and covariance selection for combinations of continuous and/or discrete responses using a recently proposed Bayesian Variable Selection (BVS) algorithm for Gaussian Copula Regression (GCR) models.
Getting started
Browse package contents
Package details |
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| Maintainer | Leonardo Bottolo <lb664@cam.ac.uk> |
| License | GPL-2 | file LICENSE |
| Version | 0.2.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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