Nothing
#' Rational approximations of fractional SPDEs.
#'
#' `rSPDE` is used for approximating fractional elliptic SPDEs
#' \deqn{L^\beta (\tau u(s)) = W,}
#' where \eqn{L} is a differential operator and \eqn{\beta>0}
#' is a general fractional power.
#'
#' The approximation is based on a rational approximation of the
#' fractional operator, and allows for computationally efficient
#' inference and simulation.
#'
#' The main functions for computing rational approximation objects are:
#' \describe{
#' \item{[fractional.operators()]}{works for general
#' rational operators}
#' \item{[matern.operators()]}{ works for random fields with
#' stationary Matern covariance functions}
#' \item{[spde.matern.operators()]}{ works for random fields with
#' defined as solutions to a possibly non-stationary Matern-type SPDE model.}
#' \item{[rspde.matern()]}{R-INLA implementation of the
#' covariance-based rational approximation for random fields with
#' stationary Matern covariance functions}
#' }
#' Basic statistical operations such as likelihood evaluations (see
#' `[rSPDE.loglike], [rSPDE.matern.loglike]`) and kriging
#' predictions (see `[predict.rSPDEobj], [predict.CBrSPDEobj]`)
#' using the rational approximations are also implemented.
#'
#' For illustration purposes, the package contains a simple FEM implementation
#' for models on R. For spatial models,
#' the FEM implementation in the `R-INLA` package is recommended.
#'
#' For a more detailed introduction to the package, see the rSPDE Vignettes.
#'
#' @docType package
#' @name rSPDE
#' @aliases rSPDE-package
#' @import Matrix
#' @importFrom stats rnorm approx quantile
#' @importFrom stats dnorm pnorm dbeta nobs deviance logLik
#' @importFrom methods as
#' @importFrom stats simulate lm logLik na.omit optim sd terms
#' @importFrom fmesher fm_mesh_2d fm_basis fm_block fm_row_kron fm_mesh_1d fm_fem
#' @importFrom lifecycle deprecated
#' @importFrom broom augment glance
#' @export augment glance
#'
NULL
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.