Package: geoFKF 0.1.0

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:Gilberto Sassi [aut, cre]

geoFKF_0.1.0.tar.gz
geoFKF_0.1.0.zip(r-4.5)geoFKF_0.1.0.zip(r-4.4)geoFKF_0.1.0.zip(r-4.3)
geoFKF_0.1.0.tgz(r-4.4-x86_64)geoFKF_0.1.0.tgz(r-4.4-arm64)geoFKF_0.1.0.tgz(r-4.3-x86_64)geoFKF_0.1.0.tgz(r-4.3-arm64)
geoFKF_0.1.0.tar.gz(r-4.5-noble)geoFKF_0.1.0.tar.gz(r-4.4-noble)
geoFKF_0.1.0.tgz(r-4.4-emscripten)geoFKF_0.1.0.tgz(r-4.3-emscripten)
geoFKF.pdf |geoFKF.html✨
geoFKF/json (API)

# Install 'geoFKF' in R:
install.packages('geoFKF', repos = c('https://gilberto-sassi.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/gilberto-sassi/geofkf/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

2.70 score 1 stars 1 scripts 180 downloads 5 exports 3 dependencies

Last updated 4 years agofrom:764e567fe3. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64NOTENov 06 2024
R-4.5-linux-x86_64NOTENov 06 2024
R-4.4-win-x86_64NOTENov 06 2024
R-4.4-mac-x86_64NOTENov 06 2024
R-4.4-mac-aarch64NOTENov 06 2024
R-4.3-win-x86_64NOTENov 06 2024
R-4.3-mac-x86_64NOTENov 06 2024
R-4.3-mac-aarch64NOTENov 06 2024

Exports:coef_fourierfourier_bgeo_fkflog_lik_rflogLikMultiNorm

Dependencies:numDerivRcppRcppArmadillo