CRAN/E | FastGP

FastGP

Efficiently Using Gaussian Processes with Rcpp and RcppEigen

Installation

About

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).

Key Metrics

Version 1.2
Published 2016-02-02 3005 days ago
Needs compilation? yes
License GPL-2
CRAN checks FastGP results

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Maintainer

Maintainer

Giri Gopalan

gopalan88@gmail.com

Authors

Giri Gopalan
Luke Bornn

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

FastGP archive

Imports

Rcpp
MASS
mvtnorm
rbenchmark
stats

LinkingTo

Rcpp
RcppEigen

Reverse Imports

BayesMFSurv
BayesSPsurv
fdaPOIFD
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