Package: spectralGP 1.3.3
Chris Paciorek
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.
Authors:
spectralGP_1.3.3.tar.gz
spectralGP_1.3.3.tar.gz(r-4.5-noble)spectralGP_1.3.3.tar.gz(r-4.4-noble)
spectralGP_1.3.3.tgz(r-4.4-emscripten)spectralGP_1.3.3.tgz(r-4.3-emscripten)
spectralGP.pdf |spectralGP.html✨
spectralGP/json (API)
NEWS
# Install 'spectralGP' in R: |
install.packages('spectralGP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:281be08965. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 27 2024 |
R-4.5-linux | NOTE | Oct 27 2024 |
Exports:add.blockscalc.varianceschange.paramcopyexpand.gpgridgetgridGibbs.sample.coeffgpHastings.coeffimage_plotimage_plot_infoimage_plot_pltis.gplogdensitylonlat2xymatern.specdensnew.mappingpropose.coeffrdist.earthsimulateupdateprocessxy2unitzero.coeff
Dependencies: