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# KRIG ---------------------------------------------------------------------------------------------
#' @title Spatial Statistics with Kriging
#' @description Implements different methods for spatial statistics, in particular focused with
#' 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.
#'
#' The linear algebra operations are supported by RcppArmadillo.
#' @examples
#' library( KRIG )
#' vignette( topic = 'copper_mining_2d', package = 'KRIG' )
#'
#' @importFrom Rdpack reprompt
#'
#' @references
#' \insertRef{MatheronTH1970}{KRIG}
#'
#' \insertRef{Chiles2011Geos}{KRIG}
#'
#' \insertRef{Kanova:2013}{KRIG}
#'
#' \insertRef{Rasmussen2005GPML}{KRIG}
#'
#' \insertRef{SteinInterSpatial}{KRIG}
#'
#' \insertRef{Clark1979Geo}{KRIG}
#'
#' \insertRef{Aronszajn:ThRK}{KRIG}
#'
"_PACKAGE"
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