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rSPDE  

Rational Approximations of Fractional Stochastic Partial Differential Equations
View on CRAN: Click here


Download and install rSPDE package within the R console
Install from CRAN:
install.packages("rSPDE")

Install from Github:
library("remotes")
install_github("cran/rSPDE")

Install by package version:
library("remotes")
install_version("rSPDE", "2.3.3")



Attach the package and use:
library("rSPDE")
Maintained by
David Bolin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-20
Latest Update: 2023-11-05
Description:
Functions that compute rational approximations of fractional elliptic stochastic partial differential equations. The package also contains functions for common statistical usage of these approximations. The main references for rSPDE are Bolin, Simas and Xiong (2023) for the covariance-based method and Bolin and Kirchner (2020) for the operator-based rational approximation. These can be generated by the citation function in R.
How to cite:
David Bolin (2019). rSPDE: Rational Approximations of Fractional Stochastic Partial Differential Equations. R package version 2.3.3, https://cran.r-project.org/web/packages/rSPDE. Accessed 12 Nov. 2024.
Previous versions and publish date:
0.4.6 (2019-08-20 11:10), 0.4.8 (2020-03-08 18:20), 0.6.2 (2021-02-23 11:10), 0.6.3 (2021-10-14 16:40), 1.0.0 (2021-12-13 10:00), 1.1.1 (2022-01-14 12:52), 1.2.0 (2022-09-16 23:46), 2.1.0 (2023-01-19 19:00), 2.2.0 (2023-04-12 12:20), 2.3.1 (2023-05-25 13:40), 2.3.2 (2023-07-02 23:30)
Other packages that cited rSPDE R package
View rSPDE citation profile
Other R packages that rSPDE depends, imports, suggests or enhances
Complete documentation for rSPDE
Functions, R codes and Examples using the rSPDE R package
Some associated functions: augment.rspde_lme . bru_get_mapper.inla_rspde . construct.spde.matern.loglike . cross_validation . folded.matern.covariance.1d . folded.matern.covariance.2d . fractional.operators . get.initial.values.rSPDE . gg_df . gg_df.rspde_result . glance.rspde_lme . graph_data_rspde . intrinsic.matern.operators . matern.covariance . matern.operators . operator.operations . precision.CBrSPDEobj . precision.inla_rspde . predict.CBrSPDEobj . predict.rSPDEobj . predict.rspde_lme . rSPDE.A1d . rSPDE.construct.matern.loglike . rSPDE.fem1d . rSPDE.fem2d . rSPDE.loglike . rSPDE.matern.loglike . rSPDE . rational.order-set . rational.order . rational.type-set . rational.type . require.nowarnings . rspde.make.A . rspde.make.index . rspde.matern . rspde.matern.precision.integer . rspde.matern.precision.integer.opt . rspde.matern.precision . rspde.matern.precision.opt . rspde.mesh.project . rspde.metric_graph . rspde.result . rspde_lme . simulate.CBrSPDEobj . simulate.rSPDEobj . spde.make.A . spde.matern.loglike . spde.matern.operators . summary.CBrSPDEobj . summary.rSPDEobj . summary.rspde_lme . summary.rspde_result . update.CBrSPDEobj . update.rSPDEobj . variogram.intrinsic.spde . 
Some associated R codes: fractional.computations.R . fractional.operators.R . inla_rspde.R . inlabru_rspde.R . intrinsic.R . markov.approx.R . operator.operations.R . rSPDE.R . rspde_lme.R . util.R .  Full rSPDE package functions and examples
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