Spatial Statistic with Kriging

Implements different methods for spatial statistics, in particular focused in Kriging based models. We count with different implemented models, simple, ordinary and universal forms of Kriging, co-Kriging and regression Kriging models. Includes, multivariate sensitivity analysis under an approximation designed over reproducing kernel Hilbert spaces and computation of Sobol indexes under this framework.


Implements different methods for spatial statistics, in particular focused in Kriging based models. We count with different implemented models, simple, ordinary and universal forms of Kriging, co-Kriging and regression Kriging models. Includes, multivariate sensitivity analysis under an approximation designed over Reproducing Kernel Hilbert Spaces and computation of Sobol indexes under this framework.

News

KRIG 0.1.0

  • First release
  • Including vignettes with Kriging examples

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("KRIG")

0.1.0 by Pedro Guarderas, a year ago


https://github.com/pedroguarderas/KRIG


Report a bug at https://github.com/pedroguarderas/KRIG/issues


Browse source code at https://github.com/cran/KRIG


Authors: Pedro Guarderas [aut, cre] , Daniel Lagos [ctb] , Andrés Lopez [ctb]


Documentation:   PDF Manual  


LGPL-3 license


Imports Rcpp, Rdpack

Suggests data.table, colorRamps, plotly, knitr, rmarkdown, testthat

Linking to Rcpp, RcppArmadillo


See at CRAN