Software Research OverviewR packages rSPDE: Statistical methods for fractional SPDEs, with interfaces to R-INLA and inlabru.See the package homepage for more information. MetricGraph: Statistical analysis of data on metric graphs, such as street or river networks.See the package homepage for more information. excursions: Excursion sets and contour credible regions for latent Gaussian models.See the package homepage for more information. ngme2: Statistical modeling using latent non-Gaussian random fields. See the package homepage for more information. Implementations for papersR package and code to replicate the results in the paper Efficient methods for Gaussian Markov random fields under sparse linear constraints can be found here.Matlab code implementing the methods described in the paper "Spatially adaptive covariance tapering" can be downloaded here.Matlab and C-code for estimation of spatially dependent vegetation trends, as described in the paper Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random fields can be downloaded here.Matlab and R code for simulation and estimation of nested SPDE models, as described in the paper Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping can be downloaded here.
