{ "_id": "6a3020883efcd9bda433d308", "Package": "GeoModels", "Version": "2.2.4", "Date": "2026-05-30", "Authors@R": "c(person(\"Moreno\", \"Bevilacqua\", role = c(\"aut\", \"cre\",\"cph\"),\nemail = \"moreno.bevilacqua89@gmail.com\"),\nperson(\"Víctor\", \"Morales-Oñate\", role = \"ctb\"),\nperson(\"Francisco\", \"Cuevas-Pacheco\", role = \"ctb\"),\nperson(\"Christian\", \"Caamaño-Carrillo\", role = \"ctb\"))", "Description": "Functions for Gaussian and Non Gaussian (bivariate)\nspatial and spatio-temporal data analysis are provided for a)\n(fast) simulation of random fields, b) inference for random\nfields using standard likelihood and a likelihood approximation\nmethod called weighted composite likelihood based on pairs and\nb) prediction using (local) best linear unbiased prediction.\nWeighted composite likelihood can be very efficient for\nestimating massive datasets. Both regression and spatial\n(temporal) dependence analysis can be jointly performed.\nFlexible covariance models for spatial and spatial-temporal\ndata on Euclidean domains and spheres are provided. There are\nalso many useful functions for plotting and performing\ndiagnostic analysis. Different non Gaussian random fields can\nbe considered in the analysis. Among them, random fields with\nmarginal distributions such as Skew-Gaussian, Student-t,\nTukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian,\nBinomial, Negative Binomial and Poisson. See the URL for the\npapers associated with this package, as for instance,\nBevilacqua and Gaetan (2015) ,\nBevilacqua et al. (2016) ,\nVallejos et al. (2020) ,\nBevilacqua et. al (2020) , Bevilacqua et.\nal (2021) , Bevilacqua et al. (2022)\n, Morales-Navarrete et al.\n(2023) , and a large class\nof examples and tutorials.", "Title": "Procedures for Gaussian and Non Gaussian Geostatistical (Large)\nData Analysis", "License": "GPL (>= 3)", "Encoding": "UTF-8", "URL": "https://vmoprojs.github.io/GeoModels-page/", "BugReports": "https://github.com/vmoprojs/GeoModels/issues", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-15 15:50:32 UTC", "User": "root" }, "Author": "Moreno Bevilacqua [aut, cre, cph], Víctor Morales-Oñate [ctb],\nFrancisco Cuevas-Pacheco [ctb], Christian Caamaño-Carrillo\n[ctb]", "Maintainer": "Moreno Bevilacqua ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-06-15 08:00:02 UTC", "RemoteUrl": "https://github.com/cran/GeoModels", "RemoteRef": "HEAD", "RemoteSha": "74498461733eb140a24c931e5eb691242e7b69bf", "MD5sum": "3f1557e82aa422a19ee1afcfc9be6b67", "_user": "cran", "_type": "src", "_file": "GeoModels_2.2.4.tar.gz", "_fileid": 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if a covariance is valid only on the sphere", "topics": [ "CheckSph" ] }, { "page": "CheckST", "title": "Checking SpaceTime covariance models", "topics": [ "CheckST" ] }, { "page": "CkCorrModel", "title": "Checking Correlation Model", "topics": [ "CkCorrModel" ] }, { "page": "CkInput", "title": "Checking Input", "topics": [ "CkInput" ] }, { "page": "CkLikelihood", "title": "Checking Composite-likelihood Type", "topics": [ "CkLikelihood" ] }, { "page": "CkModel", "title": "Checking Random Field Type", "topics": [ "CkModel" ] }, { "page": "CkType", "title": "Checking Likelihood Objects", "topics": [ "CkType" ] }, { "page": "CompIndLik2", "title": "Optimizes the Composite indipendence log-likelihood", "topics": [ "CompIndLik2" ] }, { "page": "CompLik", "title": "Optimizes the Composite Log-likelihood", "topics": [ "CompLik" ] }, { "page": "CompLik2", "title": "Optimizes the Composite log-likelihood", "topics": [ "CompLik2" ] }, { "page": "CorrelationPar", "title": "Lists the Parameters of a Correlation Model", "topics": [ "CorrelationPar" ] }, { "page": "CorrParam", "title": "Lists the Parameters of a Correlation Model", "topics": [ "CorrParam" ] }, { "page": "Corrsas", "title": "Correlation Function for Sinh-Arcsinh Random Fields", "topics": [ "corrsas" ] }, { "page": "GeoAniso", "title": "Spatial Anisotropy correction", "topics": [ "GeoAniso" ] }, { "page": "GeoCorrFct", "title": "Spatial and Spatio-temporal correlation or covariance of (non) Gaussian random fields", "topics": [ "GeoCorrFct" ] }, { "page": "GeoCorrFct_Cop", "title": "Spatial and Spatio-temporal correlation or covariance of (non) Gaussian random fields (copula models)", "topics": [ "GeoCorrFct_Cop" ] }, { "page": "GeoCovariogram", "title": "Computes the fitted variogram model.", "topics": [ "GeoCovariogram" ] }, { "page": "GeoCovDisplay", "title": "Image plot displaying the pattern of the sparsness of a covariance matrix.", "topics": [ "GeoCovDisplay" ] }, { "page": "GeoCovmatrix", "title": "Spatial and Spatio-temporal Covariance Matrix of (non-)Gaussian Random Fields", "topics": [ "GeoCovmatrix" ] }, { "page": "GeoCV", "title": "n-fold kriging Cross-validation", "topics": [ "GeoCV" ] }, { "page": "GeoDistances", "title": "Compute Distance Matrices (Euclidean, Chordal, or Geodesic)", "topics": [ "GeoDistances" ] }, { "page": "GeoDosocores", "title": "Computation of drop-one predictive scores", "topics": [ "GeoDoScores" ] }, { "page": "GeoFit", "title": "Max-Likelihood-Based Fitting of Gaussian and non Gaussian random fields.", "topics": [ "GeoFit", "print.GeoFit" ] }, { "page": "GeoFit2", "title": "Max-Likelihood-Based Fitting of Gaussian and non Gaussian RFs.", "topics": [ "GeoFit2" ] }, { "page": "GeoKrig", "title": "Spatial (bivariate) and spatio temporal optimal linear prediction for Gaussian and non Gaussian random fields.", "topics": [ "GeoKrig" ] }, { "page": "GeoKrigloc", "title": "Spatial (bivariate) and spatio temporal optimal linear local prediction for Gaussian and non Gaussian RFs.", "topics": [ "GeoKrigloc" ] }, { "page": "GeoKriglocWeights", "title": "Compute kriging weights (and related quantities) for Gaussian / non-Gaussian spatial, spatio-temporal or multivariate random fields", "topics": [ "GeoKriglocWeights" ] }, { "page": "GeoKrigWeights", "title": "Compute kriging weights (and related quantities) for Gaussian / non-Gaussian spatial, spatio-temporal or multivariate random fields", "topics": [ "GeoKrigWeights" ] }, { "page": "GeoNA", "title": "Deleting NA values (missing values) from a spatial or spatio-temporal dataset.", "topics": [ "GeoNA" ] }, { "page": "GeoNeighborhood", "title": "Spatio (temporal) neighborhood selection for local kriging.", "topics": [ "GeoNeighborhood" ] }, { "page": "GeoNeighbSelect", "title": "A brute force algorithm for spatial or spatiotemoral optimal neighboord selection for pairwise composite likelihood estimation.", "topics": [ "GeoNeighbSelect" ] }, { "page": "GeoNeighIndex", "title": "Spatial, spatio-temporal, or bivariate nearest-neighbour indices", "topics": [ "GeoNeighIndex" ] }, { "page": "GeoOutlier", "title": "Spatio (temporal) outliers detection", "topics": [ "GeoOutlier" ] }, { "page": "GeoPit", "title": "Probability integral or normal score tranformation", "topics": [ "GeoPit" ] }, { "page": "GeoQQ", "title": "Quantile-quantile plot", "topics": [ "GeoQQ" ] }, { "page": "GeoResiduals", "title": "Computes fitted covariance and/or variogram", "topics": [ "GeoResiduals" ] }, { "page": "GeoScatterplot", "title": "h-scatterplot for space and space-time data.", "topics": [ "GeoScatterplot" ] }, { "page": "GeoScores", "title": "Computation of predictive scores", "topics": [ "GeoScores" ] }, { "page": "GeoSim", "title": "Simulation of Gaussian and non Gaussian Random Fields.", "topics": [ "GeoSim", "print.GeoSim" ] }, { "page": "GeoSimapprox", "title": "Fast simulation of Gaussian and non Gaussian Random Fields.", "topics": [ "GeoSimapprox" ] }, { "page": "GeoSimcond", 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] }, { "page": "GeoWls", "title": "WLS of Random Fields", "topics": [ "GeoWLS", "print.GeoWLS" ] }, { "page": "getInvC", "title": "Utility function for kriging computation", "topics": [ "getInvC" ] }, { "page": "Lik", "title": "Optimizes the Log Likelihood", "topics": [ "Lik" ] }, { "page": "madagascartemp", "title": "July Average Temperature of Madagascar", "topics": [ "madagascartemp" ] }, { "page": "MargParam", "title": "Lists the Nuisance Parameters of a Random Field", "topics": [ "MargParam" ] }, { "page": "MatDecomp", "title": "Matrix decomposition", "topics": [ "MatDecomp" ] }, { "page": "Matrixfun", "title": "Square root, inverse and log determinant of a (semi)positive definite matrix, given a matrix decomposition.", "topics": [ "MatInv", "MatLogDet", "MatSqrt" ] }, { "page": "NuisParam", "title": "Lists the Nuisance Parameters of a Random Field", "topics": [ "NuisParam" ] }, { "page": "NuisParam2", "title": "Internal function handling Nuisance Parameters of a Random Field", 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