| Rational approximations of fractional SPDEs. | rSPDE-package rSPDE |
| Augment data with information from a 'rspde_lme' object | augment augment.rspde_lme |
| rSPDE inlabru mapper | bru_get_mapper.inla_rspde ibm_jacobian.bru_mapper_inla_rspde ibm_n.bru_mapper_inla_rspde ibm_values.bru_mapper_inla_rspde |
| rSPDE anisotropic inlabru mapper | bru_get_mapper.inla_rspde_anisotropic2d |
| rSPDE space time inlabru mapper | bru_get_mapper.inla_rspde_spacetime |
| Constructor of Matern loglikelihood functions for non-stationary models. | construct.spde.matern.loglike |
| Create train and test splits to be used in the 'cross_validation' function | create_train_test_indices |
| Perform cross-validation on a list of fitted models. | cross_validation |
| The 1d folded Matern covariance function | folded.matern.covariance.1d |
| The 2d folded Matern covariance function | folded.matern.covariance.2d |
| Rational approximations of fractional operators | fractional.operators |
| Initial values for log-likelihood optimization in rSPDE models with a latent stationary Gaussian Matern model | get.initial.values.rSPDE |
| Data frame for result objects from R-INLA fitted models to be used in ggplot2 | gg_df |
| Data frame for rspde_result objects to be used in ggplot2 | gg_df.rspde_result |
| Glance at an 'rspde_lme' object | glance glance.rspde_lme |
| Data extraction from metric graphs for 'rSPDE' models | graph_data_rspde |
| Perform prediction on a testing set based on a training set | group_predict |
| Covariance-based approximations of intrinsic fields | intrinsic.matern.operators |
| The Matern covariance function | matern.covariance |
| Rational approximations of stationary Gaussian Matern random fields | matern.operators |
| Rational approximation of the Matern fields on intervals and metric graphs | matern.rational |
| Rational approximation of the Matern covariance | matern.rational.cov |
| Rational approximations of stationary anisotropic Gaussian Matern random fields | matern2d.operators |
| Operations with the Pr and Pl operators | operator.operations Pl.mult Pl.solve Pr.mult Pr.solve Q.mult Q.solve Qsqrt.mult Qsqrt.solve Sigma.mult Sigma.solve |
| Get the precision matrix of CBrSPDEobj objects | precision precision.CBrSPDEobj |
| Get the precision matrix of CBrSPDEobj2d objects | precision.CBrSPDEobj2d |
| Get the precision matrix of 'inla_rspde' objects | precision.inla_rspde |
| Get the precision matrix of rSPDEobj1d objects | precision.rSPDEobj1d |
| Get the precision matrix of spacetimeobj objects | precision.spacetimeobj |
| Prediction of a fractional SPDE using the covariance-based rational SPDE approximation | predict.CBrSPDEobj |
| Prediction of an anisotropic Whittle-Matern field | predict.CBrSPDEobj2d |
| Prediction of a mixed effects regression model on a metric graph. | predict.rspde_lme |
| Prediction of a fractional SPDE using a rational SPDE approximation | predict.rSPDEobj |
| Prediction of a space-time SPDE | predict.spacetimeobj |
| Get the order of rational approximation. | rational.order |
| Changing the order of the rational approximation | rational.order<- |
| Get type of rational approximation. | rational.type |
| Changing the type of the rational approximation | rational.type<- |
| Warnings free loading of add-on packages | require.nowarnings |
| rSPDE linear mixed effects models | rspde_lme |
| Observation matrix for finite element discretization on R | rSPDE.A1d |
| Rational approximations of stationary anisotropic Gaussian Matern random fields | rspde.anistropic2d |
| Observation matrix for space-time models | rSPDE.Ast |
| Constructor of Matern loglikelihood functions. | rSPDE.construct.matern.loglike |
| Finite element calculations for problems on R | rSPDE.fem1d |
| Finite element calculations for problems in 2D | rSPDE.fem2d |
| Object-based log-likelihood function for latent Gaussian fractional SPDE model | rSPDE.loglike |
| Observation/prediction matrices for rSPDE models. | rspde.make.A |
| rSPDE model index vector generation | rspde.make.index |
| Matern rSPDE model object for INLA | rspde.matern |
| Intrinsic Matern rSPDE model object for INLA | rspde.intrinsic.matern rspde.matern.intrinsic |
| Object-based log-likelihood function for latent Gaussian fractional SPDE model using the rational approximations | rSPDE.matern.loglike |
| Precision matrix of the covariance-based rational approximation of stationary Gaussian Matern random fields | rspde.matern.precision |
| Precision matrix of stationary Gaussian Matern random fields with integer covariance exponent | rspde.matern.precision.integer |
| Optimized precision matrix of stationary Gaussian Matern random fields with integer covariance exponent | rspde.matern.precision.integer.opt |
| Optimized precision matrix of the covariance-based rational approximation | rspde.matern.precision.opt |
| Calculate a lattice projection to/from an 'inla.mesh' for rSPDE objects | rspde.mesh.project rspde.mesh.project.inla.mesh rspde.mesh.project.inla.mesh.1d rspde.mesh.project.rspde.mesh.projector rspde.mesh.projector |
| Matern rSPDE model object for metric graphs in INLA | rspde.metric_graph |
| rSPDE result extraction from INLA estimation results | rspde.result |
| Space-Time Random Fields via SPDE Approximation | rspde.spacetime |
| Simulation of a fractional SPDE using the covariance-based rational SPDE approximation | simulate.CBrSPDEobj |
| Simulation of a fractional SPDE using the covariance-based rational SPDE approximation | simulate.CBrSPDEobj2d |
| Simulation of a fractional intrinsic SPDE using the covariance-based rational SPDE approximation | simulate.intrinsicCBrSPDEobj |
| Simulation of a fractional SPDE using a rational SPDE approximation | simulate.rSPDEobj |
| Simulation of a Matern field using a rational SPDE approximation | simulate.rSPDEobj1d |
| Simulation of space-time models | simulate.spacetimeobj |
| Space-time random fields | spacetime.operators |
| Observation/prediction matrices for rSPDE models with integer smoothness. | spde.make.A |
| Parameter-based log-likelihood for a latent Gaussian Matern SPDE model using a rational SPDE approximation | spde.matern.loglike |
| Rational approximations of non-stationary Gaussian SPDE Matern random fields | spde.matern.operators |
| Summarise CBrSPDE objects | print.CBrSPDEobj print.summary.CBrSPDEobj summary.CBrSPDEobj |
| Summarise CBrSPDEobj2d objects | print.CBrSPDEobj2d print.summary.CBrSPDEobj2d summary.CBrSPDEobj2d |
| Summary Method for 'rspde_lme' Objects. | summary.rspde_lme |
| Summary for posteriors of field parameters for an 'inla_rspde' model from a 'rspde_result' object | summary.rspde_result |
| Summarise rSPDE objects | print.rSPDEobj print.summary.rSPDEobj summary.rSPDEobj |
| Summarise rSPDE objects without FEM | print.rSPDEobj1d print.summary.rSPDEobj1d summary.rSPDEobj1d |
| Summarise spacetime objects | print.spacetimeobj print.summary.spacetimeobj summary.spacetimeobj |
| Transform Anisotropic SPDE Model Parameters to Original Scale | transform_parameters_anisotropic |
| Update parameters of CBrSPDEobj objects | update.CBrSPDEobj |
| Update parameters of CBrSPDEobj2d objects | update.CBrSPDEobj2d |
| Update parameters of rSPDEobj objects | update.rSPDEobj |
| Update parameters of rSPDEobj1d objects | update.rSPDEobj1d |
| Update space-time operator object with new parameters | update.spacetimeobj |
| Variogram of intrinsic SPDE model | variogram.intrinsic.spde |
