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Contains Rcpp and RcppEigen implementations of matrix operations useful for Gaussian process models, such as the inversion of a symmetric Toeplitz matrix, sampling from multivariate normal distributions, evaluation of the log-density of a multivariate normal vector, and Bayesian inference for latent variable Gaussian process models with elliptical slice sampling (Murray, Adams, and MacKay 2010).
Package details |
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Author | Giri Gopalan, Luke Bornn |
Maintainer | Giri Gopalan <gopalan88@gmail.com> |
License | GPL-2 |
Version | 1.2 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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