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geoFKF: Kriging Method for Spatial Functional Data

A Kriging method for functional datasets with spatial dependency. This functional Kriging method avoids the need to estimate the trace-variogram, and the curve is estimated by minimizing a quadratic form. The curves in the functional dataset are smoothed using Fourier series. The functional Kriging of this package is a modification of the method proposed by Giraldo (2011) <doi:10.1007/s10651-010-0143-y>.

Version:0.1.1
Imports:numDeriv, stats,Rcpp
LinkingTo:Rcpp,RcppArmadillo
Published:2022-08-12
DOI:10.32614/CRAN.package.geoFKF
Author:Gilberto Sassi [aut, cre]
Maintainer:Gilberto Sassi <sassi.pereira.gilberto at gmail.com>
BugReports:https://github.com/gilberto-sassi/geoFKF/issues
License:MIT + fileLICENSE
URL:https://github.com/gilberto-sassi/geoFKF
NeedsCompilation:yes
Materials:README
CRAN checks:geoFKF results[issues need fixing before 2025-12-18]

Documentation:

Reference manual:geoFKF.html ,geoFKF.pdf

Downloads:

Package source: geoFKF_0.1.1.tar.gz
Windows binaries: r-devel:geoFKF_0.1.1.zip, r-release:geoFKF_0.1.1.zip, r-oldrel:geoFKF_0.1.1.zip
macOS binaries: r-release (arm64):geoFKF_0.1.1.tgz, r-oldrel (arm64):geoFKF_0.1.1.tgz, r-release (x86_64):geoFKF_0.1.1.tgz, r-oldrel (x86_64):geoFKF_0.1.1.tgz
Old sources: geoFKF archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=geoFKFto link to this page.


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