FastGP
Efficiently Using Gaussian Processes with Rcpp and RcppEigen
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).
- Version1.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release02/02/2016
Documentation
Team
Giri Gopalan
Luke Bornn
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports4 packages
- Linking To2 packages
- Reverse Imports5 packages