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: 0.1.0
Imports: numDeriv, stats, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Published: 2020-11-02
Author: Gilberto Sassi [aut, cre]
Maintainer: Gilberto Sassi <sassi.pereira.gilberto at gmail.com>
BugReports: https://github.com/gilberto-sassi/geoFKF/issues
License: MIT + file LICENSE
URL: https://github.com/gilberto-sassi/geoFKF
NeedsCompilation: yes
Materials: README
CRAN checks: geoFKF results

Downloads:

Reference manual: geoFKF.pdf
Package source: geoFKF_0.1.0.tar.gz
Windows binaries: r-devel: geoFKF_0.1.0.zip, r-release: geoFKF_0.1.0.zip, r-oldrel: geoFKF_0.1.0.zip
macOS binaries: r-release: geoFKF_0.1.0.tgz, r-oldrel: geoFKF_0.1.0.tgz

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