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geoFKF  

Kriging Method for Spatial Functional Data
View on CRAN: Click here


Download and install geoFKF package within the R console
Install from CRAN:
install.packages("geoFKF")

Install from Github:
library("remotes")
install_github("cran/geoFKF")

Install by package version:
library("remotes")
install_version("geoFKF", "0.1.1")



Attach the package and use:
library("geoFKF")
Maintained by
Gilberto Sassi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-02
Latest Update: 2022-08-12
Description:
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) .
How to cite:
Gilberto Sassi (2020). geoFKF: Kriging Method for Spatial Functional Data. R package version 0.1.1, https://cran.r-project.org/web/packages/geoFKF
Previous versions and publish date:
0.1.0 (2020-11-02 10:20)
Other packages that cited geoFKF R package
View geoFKF citation profile
Other R packages that geoFKF depends, imports, suggests or enhances
Functions, R codes and Examples using the geoFKF R package
Some associated functions: coef_fourier . datasetCanada . fourier_b . geo_fkf . logLikMultiNorm . log_lik_rf . 
Some associated R codes: RcppExports.R . datasetCanada.R . geoFKF-package.R . kriging.R . smoothing.R .  Full geoFKF package functions and examples
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