Package: FastGP
Type: Package
Title: Efficiently Using Gaussian Processes with Rcpp and RcppEigen
Version: 1.4
Date: 2026-09-19
Authors@R: c(
    person(given = "Giri",
           family = "Gopalan",
           role = c("aut", "cre"),
           email = "gopalan88@gmail.com"),
    person(given = "Luke",
           family = "Bornn",
           role = "aut")
  )
Maintainer: Giri Gopalan <gopalan88@gmail.com>
Description: Contains Rcpp and RcppEigen implementations of matrix operations useful for Gaussian process models, such as the inverse and determinant of a symmetric and positive-definite 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).
License: GPL-2
Imports: Rcpp, MASS, mvtnorm, stats
LinkingTo: Rcpp, RcppEigen
Repository: CRAN
NeedsCompilation: yes
RoxygenNote: 7.3.1
Author: Giri Gopalan [aut, cre],
  Luke Bornn [aut]
Packaged: 2026-09-20 01:49:15 UTC; ggopalan
Date/Publication: 2026-09-20 03:10:10 UTC
Built: R 4.5.2; aarch64-apple-darwin20; 2026-09-20 03:52:55 UTC; unix
Archs: FastGP.so.dSYM
