A fully parameterized Generalized Wendland covariance function for use in Gaussian process models, as well as multiple methods for approximating it via covariance interpolation. The available methods are linear interpolation, polynomial interpolation, and cubic spline interpolation. Moreno Bevilacqua and Reinhard Furrer and Tarik Faouzi and Emilio Porcu (2019) <url:<https://projecteuclid.org/journalArticle/Download?urlId=10.1214%2F17-AOS1652>>. Moreno Bevilacqua and Christian Caamaño-Carrillo and Emilio Porcu (2022) <doi:10.48550/arXiv.2008.02904>. Reinhard Furrer and Roman Flury and Florian Gerber (2022) <url:<https://CRAN.R-project.org/package=spam>>.
Version: 0.6.0 Depends: R (≥ 3.1) Imports: methods, stats, utils, Matrix, Rcpp, spam, spam64, parallel, optimParallel, fields LinkingTo: Rcpp, RcppEigen, BH, Matrix Suggests: knitr, R.rsp, testthat (≥ 3.0.0), mvtnorm, ggplot2, gridExtra, dplyr, microbenchmark Published: 2024-02-18 DOI: 10.32614/CRAN.package.GeneralizedWendland Author: Thomas C. Fischer [aut, cre], Reinhard Furrer [aut, ths], Josef Stocker [aut] Maintainer: Thomas C. Fischer <thomascasparfischer at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes SystemRequirements: gsl (>= 2.7) Materials: NEWS CRAN checks: GeneralizedWendland resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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