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