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 |
| 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 |
| Reference manual: | geoFKF.pdf |
| 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 |
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