Package: geoFKF 0.1.1
Gilberto Sassi
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>.
Authors:
geoFKF_0.1.1.tar.gz
geoFKF_0.1.1.tar.gz(r-4.5-noble)geoFKF_0.1.1.tar.gz(r-4.4-noble)
geoFKF_0.1.1.tgz(r-4.4-emscripten)geoFKF_0.1.1.tgz(r-4.3-emscripten)
geoFKF.pdf |geoFKF.html✨
geoFKF/json (API)
| # Install 'geoFKF' in R: |
| install.packages('geoFKF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gilberto-sassi/geofkf/issues
- datasetCanada - Temperature datasets from Canada.
Last updated 2 years agofrom:38ae48cb64. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 26 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 26 2024 |
Exports:coef_fourierfourier_bgeo_fkflog_lik_rflogLikMultiNorm
Dependencies:numDerivRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Computing coefficients Fourier. | coef_fourier |
| Temperature datasets from Canada. | datasetCanada |
| Smoothed curve in Fourier Series. | fourier_b |
| Kriging method for Spatial Functional Data. | geo_fkf |
| Maximum likelihood estimate for sigma^2, phi and rho. | log_lik_rf |
| Log likelihood function for multivariate normal with spatial dependency. | logLikMultiNorm |
