rSPDE 2.5.1

• Added model_options argument to rspde_lme() function, which allows users to set starting values for different parameters and also to fix parameters during estimation.
• Added previous_fit argument to rspde_lme(), which allows users to provide a previously fitted model as input to obtain starting values for a new fit.

rSPDE 2.5.0

• Improved the cross_validation function to allow for multiple likelihoods.
• General adjusts on rspde.intrinsic for stability.
• inlabru implementation for rspde.intrinsic.
• Improved warning messages when calling inla-related functions.
• Added wCRPS and swCRPS scores on cross_validation.

rSPDE 2.4.0

• Created the group_predict function, to obtain predictions on a testing set based on observations on a training set.
• Added support for stochvol, stochvol.nig, stochvolln and binomial likelihoods in cross_validation function.
• Changing the default nu.upper.bound to 2 in dimension 1, and keeping the default nu.upper.bound to 4 in dimension 2 in rspde.matern() function.
• Created matern.rational() operators for creating stationary matern operators.
• Created spacetime.operators() for creating space-time models.
• Created matern2d.operators() for anisotropic operators.
• Implemented space-time operators in cgeneric to be used in INLA and inlabru.
• Implemented anisotropic operators in cgeneric to be used in INLA and inlabru.
• Implemented stationary operators in cgeneric to be used in INLA and inlabru.
• Added vignette on space-time models.
• Added vignette on stationary models.
• Added vignette on anisotropic models.

rSPDE 2.3.3

• Bugfix on rspde_lme when fitting with fixed smoothness.
• Added a 2d fem interface.
• Moved from using INLA’s mesh functions to fmesher’s mesh functions.
• Removing rgdal from suggests.
• The data argument in predict.rspde_lme has been changed to newdata.
• Adding covariance_mesh and cov_function_mesh methods as functions in the list returned by objects obtained from matern.operators() and spde.matern.operators().
• Updated the internal structure to match the updates from the MetricGraph package.
• Updated the cross_validation function to match the updates in inlabru.
• Added glance and augment methods for rspde_lme objects.

rSPDE 2.3.2

• Small improvement on speed for rspde_lme.
• Bugfix on Q for small values of nu in dimension 1.
• Adding parameterization option for rspde.result.
• Bugfix on which_repl in rspde_lme.
• Addressing issues related to the new version of the Matrix package.

rSPDE 2.3.1

• Adding references in DESCRIPTION.
• Changing link to eigen library.

rSPDE 2.3.0

• Fixed a bug on rSPDE.construct.matern.loglike when the parameterization is “matern”.
• Created the rspde_lme() interface, with corresponding standard methods(predict, summary, etc).
• Updated the vignettes to use the rspde_lme() interface instead of the likelihood function factory.
• Replaced chol by Cholesky when using it to compute determinants or to solve systems.

rSPDE 2.2.0

• Adding a new parameterization (variance and a range-like parameter)
• Posterior sampling on the predict method.
• Added the cross_validation function which has several scoring rules implemented (MSE, CRPS, SCRPS, DSS) based on our inlabru implementation of the rational SPDE approach.

rSPDE 2.1.0

• Expanded the parameterization options on matern.operators and spde.matern.operators, along with their associated functions.
• Implementation of the precision method for inla_rspde objects.
• Implementation of the covariance-based spde.matern.operators function and its associated functions.
• Adjusts on the compatibility with the forthcoming MetricGraph package.

rSPDE 2.0.0

• Added cgeneric versions of the nonstationary models
• Added support for metric graphs (depends on the MetricGraph package)
• Added cgeneric versions of the stationary models
• Replaced rgeneric models by their cgeneric counterparts
• Added a new parameterization (range and std. dev)
• Created a new method gg_df to help posterior plotting in ggplot2

rSPDE 1.2.0

• Added an inlabru interface
• Added “rational.order” and “rational.type” functions
• Added the BRASIL rational approximation
• Improved covariance-based operator objects
• Improved log-likelihood computation
• Created 2d folded Matern under different boundary conditions
• Implemented different boundary conditions for 1d folded Matern

rSPDE 1.1.1

• Adjusts on donttest examples for CRAN

rSPDE 1.1.0

• Minor typos on vignettes and man pages were corrected
• Some examples were changed to improve their numerical stability

rSPDE 1.0.0

• Implementation of the covariance-based rational approximation for stationary Matérn models
• R-INLA implementation of the rational SPDE approach
• Added an introduction to rSPDE vignette
• The previous vignette was updated an became an operator-based rational approximation vignette
• Added a vignette for the R-INLA implementation of the SPDE approach
• Added a vignette to present the rational approximation using the rSPDE package
• Backward compatibility was maintained

rSPDE 0.6.3

• Change to inline citations in the Vignette to avoid problems on CRAN

rSPDE 0.6.2

rSPDE 0.6.1

• Add rgdal as suggested package

rSPDE 0.5.0

• Remove dependency on INLA for Vignette on CRAN
• Update citation