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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).
| Version: | 1.2 |
| Imports: | Rcpp, MASS, mvtnorm, rbenchmark, stats |
| LinkingTo: | Rcpp, RcppEigen |
| Published: | 2016-02-02 |
| DOI: | 10.32614/CRAN.package.FastGP |
| Author: | Giri Gopalan, Luke Bornn |
| Maintainer: | Giri Gopalan <gopalan88 at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | FastGP results |
| Reference manual: | FastGP.pdf |
| Package source: | FastGP_1.2.tar.gz |
| Windows binaries: | r-devel: FastGP_1.2.zip, r-release: FastGP_1.2.zip, r-oldrel: FastGP_1.2.zip |
| macOS binaries: | r-release (arm64): FastGP_1.2.tgz, r-oldrel (arm64): FastGP_1.2.tgz, r-release (x86_64): FastGP_1.2.tgz, r-oldrel (x86_64): FastGP_1.2.tgz |
| Old sources: | FastGP archive |
| Reverse imports: | BayesMFSurv, countSTAR, fdaPOIFD, GeoModels, TAG |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.