{
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  "Type": "Package",
  "Title": "Rational Approximations of Fractional Stochastic Partial\nDifferential Equations",
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  "Authors@R": "c(\nperson(\"David\", \"Bolin\", email = \"davidbolin@gmail.com\", role = c(\"cre\", \"aut\")),\nperson(\"Alexandre\", \"Simas\", email = \"alexandre.impa@gmail.com\", role = \"aut\"),\nperson(\"Finn\", \"Lindgren\", email = \"finn.lindgren@gmail.com\", role = \"ctb\"))",
  "Maintainer": "David Bolin <davidbolin@gmail.com>",
  "Description": "Functions that compute rational approximations of\nfractional elliptic stochastic partial differential equations.\nThe package also contains functions for common statistical\nusage of these approximations. The main references for rSPDE\nare Bolin, Simas and Xiong (2023)\n<doi:10.1080/10618600.2023.2231051> for the covariance-based\nmethod and Bolin and Kirchner (2020)\n<doi:10.1080/10618600.2019.1665537> for the operator-based\nrational approximation. These can be generated by the citation\nfunction in R.",
  "License": "GPL (>=3) | file LICENSE",
  "URL": "https://davidbolin.github.io/rSPDE/",
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  "Author": "David Bolin [cre, aut], Alexandre Simas [aut], Finn Lindgren\n[ctb]",
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  "_exports": [
    "augment",
    "construct.spde.matern.loglike",
    "cov_function_mesh",
    "covariance_mesh",
    "create_train_test_indices",
    "cross_validation",
    "folded.matern.covariance.1d",
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    "get.initial.values.rSPDE",
    "gg_df",
    "glance",
    "graph_data_rspde",
    "intrinsic.matern.operators",
    "intrinsic.operators",
    "make_A",
    "matern.covariance",
    "matern.operators",
    "matern.rational",
    "matern.rational.cov",
    "matern2d.operators",
    "Pl.mult",
    "Pl.solve",
    "Pr.mult",
    "Pr.solve",
    "precision",
    "Q.mult",
    "Q.solve",
    "Qsqrt.mult",
    "Qsqrt.solve",
    "rational.order",
    "rational.order<-",
    "rational.type",
    "rational.type<-",
    "require.nowarnings",
    "rspde_lme",
    "rSPDE.A1d",
    "rspde.anistropic2d",
    "rSPDE.Ast",
    "rSPDE.construct.matern.loglike",
    "rSPDE.fem1d",
    "rSPDE.fem2d",
    "rspde.intrinsic",
    "rspde.intrinsic.matern",
    "rSPDE.loglike",
    "rspde.make.A",
    "rspde.make.index",
    "rspde.matern",
    "rSPDE.matern.loglike",
    "rspde.matern.precision",
    "rspde.matern.precision.integer",
    "rspde.matern.precision.integer.opt",
    "rspde.matern.precision.opt",
    "rspde.matern1d",
    "rspde.mesh.project",
    "rspde.mesh.projector",
    "rspde.metric_graph",
    "rspde.result",
    "rspde.spacetime",
    "Sigma.mult",
    "Sigma.solve",
    "spacetime.operators",
    "spde.make.A",
    "spde.matern.loglike",
    "spde.matern.operators",
    "transform_parameters_anisotropic",
    "transform_parameters_spacetime",
    "variogram.intrinsic.spde"
  ],
  "_help": [
    {
      "page": "rSPDE-package",
      "title": "Rational approximations of fractional SPDEs.",
      "topics": [
        "rSPDE-package",
        "rSPDE"
      ]
    },
    {
      "page": "augment.rspde_lme",
      "title": "Augment data with information from a 'rspde_lme' object",
      "topics": [
        "augment",
        "augment.rspde_lme"
      ]
    },
    {
      "page": "bru_get_mapper.inla_rspde_anisotropic2d",
      "title": "rSPDE anisotropic inlabru mapper",
      "topics": [
        "bru_get_mapper.inla_rspde_anisotropic2d"
      ]
    },
    {
      "page": "bru_get_mapper.inla_rspde_fintrinsic",
      "title": "rSPDE inlabru mapper",
      "topics": [
        "bru_get_mapper.inla_rspde_fintrinsic"
      ]
    },
    {
      "page": "bru_get_mapper.inla_rspde_matern1d",
      "title": "rSPDE stationary inlabru mapper",
      "topics": [
        "bru_get_mapper.inla_rspde_matern1d",
        "ibm_jacobian.bru_mapper_inla_rspde_matern1d",
        "ibm_n.bru_mapper_inla_rspde_matern1d",
        "ibm_values.bru_mapper_inla_rspde_matern1d"
      ]
    },
    {
      "page": "bru_get_mapper.inla_rspde_spacetime",
      "title": "rSPDE space time inlabru mapper",
      "topics": [
        "bru_get_mapper.inla_rspde_spacetime"
      ]
    },
    {
      "page": "bru_get_mapper.intrinsic_matern",
      "title": "rSPDE inlabru mapper",
      "topics": [
        "bru_get_mapper.intrinsic_matern",
        "ibm_jacobian.bru_mapper_intrinsic_matern",
        "ibm_n.bru_mapper_intrinsic_matern",
        "ibm_values.bru_mapper_intrinsic_matern"
      ]
    },
    {
      "page": "construct.spde.matern.loglike",
      "title": "Constructor of Matern loglikelihood functions for non-stationary models.",
      "topics": [
        "construct.spde.matern.loglike"
      ]
    },
    {
      "page": "cov_function_mesh",
      "title": "Covariance between mesh nodes and locations",
      "topics": [
        "cov_function_mesh"
      ]
    },
    {
      "page": "covariance_mesh",
      "title": "Covariance between mesh nodes",
      "topics": [
        "covariance_mesh"
      ]
    },
    {
      "page": "create_train_test_indices",
      "title": "Create train and test splits for cross-validation",
      "topics": [
        "create_train_test_indices"
      ]
    },
    {
      "page": "cross_validation",
      "title": "Perform cross-validation on a list of fitted models.",
      "topics": [
        "cross_validation"
      ]
    },
    {
      "page": "folded.matern.covariance.1d",
      "title": "The 1d folded Matern covariance function",
      "topics": [
        "folded.matern.covariance.1d"
      ]
    },
    {
      "page": "folded.matern.covariance.2d",
      "title": "The 2d folded Matern covariance function",
      "topics": [
        "folded.matern.covariance.2d"
      ]
    },
    {
      "page": "fractional.operators",
      "title": "Rational approximations of fractional operators",
      "topics": [
        "fractional.operators"
      ]
    },
    {
      "page": "get.initial.values.rSPDE",
      "title": "Initial values for log-likelihood optimization in rSPDE models with a latent stationary Gaussian Matern model",
      "topics": [
        "get.initial.values.rSPDE"
      ]
    },
    {
      "page": "gg_df",
      "title": "Data frame for result objects from R-INLA fitted models to be used in ggplot2",
      "topics": [
        "gg_df"
      ]
    },
    {
      "page": "gg_df.rspde_result",
      "title": "Data frame for rspde_result objects to be used in ggplot2",
      "topics": [
        "gg_df.rspde_result"
      ]
    },
    {
      "page": "glance.rspde_lme",
      "title": "Glance at an 'rspde_lme' object",
      "topics": [
        "glance",
        "glance.rspde_lme"
      ]
    },
    {
      "page": "graph_data_rspde",
      "title": "Data extraction from metric graphs for 'rSPDE' models",
      "topics": [
        "graph_data_rspde"
      ]
    },
    {
      "page": "bru_get_mapper.inla_rspde",
      "title": "rSPDE inlabru mapper",
      "topics": [
        "bru_get_mapper.inla_rspde",
        "ibm_jacobian.bru_mapper_inla_rspde",
        "ibm_jacobian.bru_mapper_inla_rspde_fintrinsic",
        "ibm_n.bru_mapper_inla_rspde",
        "ibm_n.bru_mapper_inla_rspde_fintrinsic",
        "ibm_values.bru_mapper_inla_rspde",
        "ibm_values.bru_mapper_inla_rspde_fintrinsic"
      ]
    },
    {
      "page": "intrinsic.matern.operators",
      "title": "Covariance-based approximations of intrinsic fields",
      "topics": [
        "intrinsic.matern.operators"
      ]
    },
    {
      "page": "intrinsic.operators",
      "title": "Covariance-based approximations of intrinsic fields",
      "topics": [
        "intrinsic.operators"
      ]
    },
    {
      "page": "make_A",
      "title": "Projection matrix for model objects",
      "topics": [
        "make_A"
      ]
    },
    {
      "page": "matern.covariance",
      "title": "The Matern covariance function",
      "topics": [
        "matern.covariance"
      ]
    },
    {
      "page": "matern.operators",
      "title": "Rational approximations of stationary Gaussian Matern random fields",
      "topics": [
        "matern.operators"
      ]
    },
    {
      "page": "matern.rational",
      "title": "Rational approximation of the Matern fields on intervals and metric graphs",
      "topics": [
        "matern.rational"
      ]
    },
    {
      "page": "matern.rational.cov",
      "title": "Rational approximation of the Matern covariance",
      "topics": [
        "matern.rational.cov"
      ]
    },
    {
      "page": "matern2d.operators",
      "title": "Rational approximations of stationary anisotropic Gaussian Matern random fields",
      "topics": [
        "matern2d.operators"
      ]
    },
    {
      "page": "operator.operations",
      "title": "Operations with the Pr and Pl operators",
      "topics": [
        "operator.operations",
        "Pl.mult",
        "Pl.solve",
        "Pr.mult",
        "Pr.solve",
        "Q.mult",
        "Q.solve",
        "Qsqrt.mult",
        "Qsqrt.solve",
        "Sigma.mult",
        "Sigma.solve"
      ]
    },
    {
      "page": "precision.CBrSPDEobj",
      "title": "Get the precision matrix of CBrSPDEobj objects",
      "topics": [
        "precision",
        "precision.CBrSPDEobj"
      ]
    },
    {
      "page": "precision.CBrSPDEobj2d",
      "title": "Get the precision matrix of CBrSPDEobj2d objects",
      "topics": [
        "precision.CBrSPDEobj2d"
      ]
    },
    {
      "page": "precision.inla_rspde",
      "title": "Get the precision matrix of 'inla_rspde' objects",
      "topics": [
        "precision.inla_rspde"
      ]
    },
    {
      "page": "precision.intrinsicCBrSPDEobj",
      "title": "Get the precision matrix of intrinsicCBrSPDEobj objects",
      "topics": [
        "precision.intrinsicCBrSPDEobj"
      ]
    },
    {
      "page": "precision.rSPDEobj1d",
      "title": "Get the precision matrix of rSPDEobj1d objects",
      "topics": [
        "precision.rSPDEobj1d"
      ]
    },
    {
      "page": "precision.spacetimeobj",
      "title": "Get the precision matrix of spacetimeobj objects",
      "topics": [
        "precision.spacetimeobj"
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