KRIG: 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.

Version: 0.1.0
Depends: R (≥ 3.3)
Imports: Rcpp, Rdpack
LinkingTo: Rcpp, RcppArmadillo
Suggests: data.table, colorRamps, plotly, knitr, rmarkdown, testthat
Published: 2018-01-30
Author: Pedro Guarderas [aut, cre], Daniel Lagos [ctb], Andrés Lopez [ctb]
Maintainer: Pedro Guarderas <pedro.felipe.guarderas at gmail.com>
BugReports: https://github.com/pedroguarderas/KRIG/issues
License: LGPL-3
URL: https://github.com/pedroguarderas/KRIG
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: KRIG results

Downloads:

Reference manual: KRIG.pdf
Vignettes: Copper mining
Ordinary Kriging
Simple Kriging
Universal Kriging
Package source: KRIG_0.1.0.tar.gz
Windows binaries: r-devel: KRIG_0.1.0.zip, r-release: KRIG_0.1.0.zip, r-oldrel: KRIG_0.1.0.zip
OS X El Capitan binaries: r-release: KRIG_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: not available

Linking:

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