R package spectralGP: Approximate Gaussian processes using the Fourier basis. Routines for creating, manipulating, and performing Bayesian inference about Gaussian processes in one and two dimensions using the Fourier basis approximation: simulation and plotting of processes, calculation of coefficient variances, calculation of process density, coefficient proposals (for use in MCMC). It uses R environments to store GP objects as references/pointers.

References in zbMATH (referenced in 13 articles , 1 standard article )

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  1. Kneib, Thomas; Klein, Nadja; Lang, Stefan; Umlauf, Nikolaus: Modular regression - a Lego system for building structured additive distributional regression models with tensor product interactions (2019)
  2. Schnell, Patrick M.; Bose, Maitreyee: Spectral parameterization for linear mixed models applied to confounding of fixed effects by random effects (2019)
  3. Seongil Jo; Taeryon Choi; Beomjo Park; Peter Lenk: bsamGP: An R Package for Bayesian Spectral Analysis Models Using Gaussian Process Priors (2019) not zbMATH
  4. Hensman, James; Durrande, Nicolas; Solin, Arno: Variational Fourier features for Gaussian processes (2018)
  5. Barthelmé, Simon: Fast matrix computations for functional additive models (2015)
  6. Fabio Sigrist; Hans Künsch; Werner Stahel: spate: An R Package for Spatio-Temporal Modeling with a Stochastic Advection-Diffusion Process (2015) not zbMATH
  7. Paciorek, Christopher J.: Spatial models for point and areal data using Markov random fields on a fine grid (2013)
  8. Lemos, Ricardo T.; Sansó, Bruno: Conditionally linear models for non-homogeneous spatial random fields (2012)
  9. Haran, Murali: Gaussian random field models for spatial data (2011)
  10. Adrian Bowman; Iain Gibson; E. Scott; Ewan Crawford: Interactive Teaching Tools for Spatial Sampling (2010) not zbMATH
  11. Ruppert, David; Wand, M. P.; Carroll, Raymond J.: Semiparametric regression during 2003--2007 (2009)
  12. Crainiceanu, Ciprian M.; Diggle, Peter J.; Rowlingson, Barry: Bivariate binomial spatial modeling of Loa Loa prevalence in tropical africa (2008)
  13. Christopher Paciorek: Bayesian Smoothing with Gaussian Processes Using Fourier Basis Functions in the spectralGP Package (2007) not zbMATH