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A B C D E F G H I J K L M N O P Q R S T V W Z
| INLA-package | Integrated Nested Laplace Approximation |
| ar.dpacf | Utility functions for the PC prior for a an AR(p) model |
| ar.pacf2acf | Convert between parameterizations for the AR(p) model |
| ar.pacf2phi | Convert between parameterizations for the AR(p) model |
| ar.phi2acf | Convert between parameterizations for the AR(p) model |
| ar.phi2pacf | Convert between parameterizations for the AR(p) model |
| ar.rpacf | Utility functions for the PC prior for a an AR(p) model |
| as.inla.mdata | Create an mdata-object for INLA |
| as.inla.mesh.segment | Convert 'sp' curve objects to 'inla.mesh.segment' objects. |
| as.inla.mesh.segment.Line | Convert 'sp' curve objects to 'inla.mesh.segment' objects. |
| as.inla.mesh.segment.Lines | Convert 'sp' curve objects to 'inla.mesh.segment' objects. |
| as.inla.mesh.segment.Polygon | Convert 'sp' curve objects to 'inla.mesh.segment' objects. |
| as.inla.mesh.segment.Polygons | Convert 'sp' curve objects to 'inla.mesh.segment' objects. |
| as.inla.mesh.segment.SpatialLines | Convert 'sp' curve objects to 'inla.mesh.segment' objects. |
| as.inla.mesh.segment.SpatialLinesDataFrame | Convert 'sp' curve objects to 'inla.mesh.segment' objects. |
| as.inla.mesh.segment.SpatialPolygons | Convert 'sp' curve objects to 'inla.mesh.segment' objects. |
| as.inla.mesh.segment.SpatialPolygonsDataFrame | Convert 'sp' curve objects to 'inla.mesh.segment' objects. |
| as.inla.surv | Create a Survival Object for INLA |
| barrier | Functions for defining the Barrier models |
| barrier.fem | Functions for defining the Barrier models |
| barrier.pcmatern | Functions for defining the Barrier models |
| barrier.polygon | Functions for defining the Barrier models |
| barrier.q | Functions for defining the Barrier models |
| BivMetaAnalysis | Bivariate Meta Analysis |
| Cancer | ~~ data name/kind ... ~~ |
| cbind.data.frames | Convert a Cox proportional hazard model into Poisson regression |
| changelog | inla.changelog |
| collect.results | Collect results from a inla-call |
| compare.results | Compare INLA and MCMC results |
| control.compute | Control variables in control.compute |
| control.compute.default | Control variables in control.compute |
| control.expert | Control variables in control.expert |
| control.expert.default | Control variables in control.expert |
| control.family | Control variables in control.family |
| control.family.default | Control variables in control.family |
| control.fixed | Control variables in control.fixed |
| control.fixed.default | Control variables in control.fixed |
| control.group | Control variables in control.group |
| control.group.default | Control variables in control.group |
| control.hazard | Control variables in control.hazard |
| control.hazard.default | Control variables in control.hazard |
| control.inla | Control variables in control.inla |
| control.inla.default | Control variables in control.inla |
| control.lincomb | Control variables in control.lincomb |
| control.lincomb.default | Control variables in control.lincomb |
| control.link | Control variables in control.link |
| control.link.default | Control variables in control.link |
| control.mix | Control variables in control.mix |
| control.mix.default | Control variables in control.mix |
| control.mode | Control variables in control.mode |
| control.mode.default | Control variables in control.mode |
| control.predictor | Control variables in control.predictor |
| control.predictor.default | Control variables in control.predictor |
| control.results | Control variables in control.results |
| control.results.default | Control variables in control.results |
| control.update | Control variables in control.update |
| control.update.default | Control variables in control.update |
| cormat.dim2p | Utility functions for the PC prior for a correlation matrix |
| cormat.dtheta | Utility functions for the PC prior for a correlation matrix |
| cormat.p2dim | Utility functions for the PC prior for a correlation matrix |
| cormat.permute | Utility functions for the PC prior for a correlation matrix |
| cormat.R2r | Utility functions for the PC prior for a correlation matrix |
| cormat.r2R | Utility functions for the PC prior for a correlation matrix |
| cormat.R2theta | Utility functions for the PC prior for a correlation matrix |
| cormat.r2theta | Utility functions for the PC prior for a correlation matrix |
| cormat.rtheta | Utility functions for the PC prior for a correlation matrix |
| cormat.theta2R | Utility functions for the PC prior for a correlation matrix |
| cormat.theta2r | Utility functions for the PC prior for a correlation matrix |
| coxph | Convert a Cox proportional hazard model into Poisson regression |
| cpo.inla | Improved estimates for the CPO/PIT-values |
| cut | Group-wise model criticism using node-splitting |
| debug.graph | Debug a graph-file |
| dmarginal | Functions which operates on marginals |
| Drivers | Time series with seasonal effect |
| emarginal | Functions which operates on marginals |
| Epil | Repeated measures on Poisson counts |
| extract.groups | Extract tagged boundary/internal segments. |
| extract.groups.inla.mesh.segment | Extract tagged boundary/internal segments. |
| f | Define general Gaussian models in the INLA formula |
| fgn | Return the coefficients in the 3-component AR(1) mixture representing FGN(H) |
| geobugs2inla | INLA utility functions |
| Germany | Disease Mapping |
| graph2matrix | Construct a neighbour-matrix from a 'graph' |
| hpdmarginal | Functions which operates on marginals |
| hyperpar.inla | Improved estimates for the hyperparameters |
| hyperpar.sample | Produce samples from the approximated joint posterior for the hyperparameters |
| hyperpar.sampler | Produce samples from the approximated joint posterior for the hyperparameters |
| idx | Convert indexes |
| INLA | Integrated Nested Laplace Approximation |
| inla | Bayesian analysis of structured additive models |
| inla.ar.pacf2acf | Convert between parameterizations for the AR(p) model |
| inla.ar.pacf2phi | Convert between parameterizations for the AR(p) model |
| inla.ar.phi2acf | Convert between parameterizations for the AR(p) model |
| inla.ar.phi2pacf | Convert between parameterizations for the AR(p) model |
| inla.as.CRS.list | Show expanded CRS arguments |
| inla.as.CRSargs.list | Show expanded CRS arguments |
| inla.as.dgTMatrix | Convert a matrix or sparse matrix into the sparse formate used by INLA |
| inla.as.list.CRS | Show expanded CRS arguments |
| inla.as.list.CRSargs | Show expanded CRS arguments |
| inla.as.sparse | Convert a matrix or sparse matrix into the sparse formate used by INLA |
| inla.barrier | Functions for defining the Barrier models |
| inla.barrier.fem | Functions for defining the Barrier models |
| inla.barrier.pcmatern | Functions for defining the Barrier models |
| inla.barrier.polygon | Functions for defining the Barrier models |
| inla.barrier.q | Functions for defining the Barrier models |
| inla.changelog | inla.changelog |
| inla.changes | inla.changelog |
| inla.collect.results | Collect results from a inla-call |
| inla.compare.results | Compare INLA and MCMC results |
| inla.contour.segment | Constraint segments for inla.mesh |
| inla.control.compute | Control variables in control.compute |
| inla.control.expert | Control variables in control.expert |
| inla.control.family | Control variables in control.family |
| inla.control.fixed | Control variables in control.fixed |
| inla.control.group | Control variables in control.group |
| inla.control.hazard | Control variables in control.hazard |
| inla.control.inla | Control variables in control.inla |
| inla.control.lincomb | Control variables in control.lincomb |
| inla.control.link | Control variables in control.link |
| inla.control.mix | Control variables in control.mix |
| inla.control.mode | Control variables in control.mode |
| inla.control.predictor | Control variables in control.predictor |
| inla.control.results | Control variables in control.results |
| inla.control.update | Control variables in control.update |
| inla.coxph | Convert a Cox proportional hazard model into Poisson regression |
| inla.cpo | Improved estimates for the CPO/PIT-values |
| inla.CRS | Create a coordinate reference system object |
| inla.CRSargs | Show expanded CRS arguments |
| inla.cut | Group-wise model criticism using node-splitting |
| inla.debug.graph | Debug a graph-file |
| inla.delaunay | Low level function for high-quality triangulations |
| inla.dev.new | Opens a new device |
| inla.diameter | Diameter of a point set |
| inla.diameter.default | Diameter of a point set |
| inla.diameter.inla.mesh | Diameter of a point set |
| inla.diameter.inla.mesh.1d | Diameter of a point set |
| inla.diameter.inla.mesh.lattice | Diameter of a point set |
| inla.diameter.inla.mesh.segment | Diameter of a point set |
| inla.dmarginal | Functions which operates on marginals |
| inla.doc | View documentation |
| inla.emarginal | Functions which operates on marginals |
| inla.extract.el | Extract elements by matching name from container objects. |
| inla.extract.el.data.frame | Extract elements by matching name from container objects. |
| inla.extract.el.list | Extract elements by matching name from container objects. |
| inla.extract.el.matrix | Extract elements by matching name from container objects. |
| inla.fgn | Return the coefficients in the 3-component AR(1) mixture representing FGN(H) |
| inla.fmesher.smorg | Compute various mesh related quantities. |
| inla.generate.colors | Generate text RGB color specifications. |
| inla.geobugs2inla | INLA utility functions |
| inla.getOption | Set and get global options for INLA |
| inla.graph | Read and write a graph-object |
| inla.graph2matrix | Construct a neighbour-matrix from a 'graph' |
| inla.group | Group or cluster covariates |
| inla.hpdmarginal | Functions which operates on marginals |
| inla.hyperpar | Improved estimates for the hyperparameters |
| inla.hyperpar.sample | Produce samples from the approximated joint posterior for the hyperparameters |
| inla.hyperpar.sampler | Produce samples from the approximated joint posterior for the hyperparameters |
| inla.identical.CRS | Test CRS and inla.CRS for equality |
| inla.idx | Convert indexes |
| inla.inla.doc | View documentation |
| inla.jp.define | Joint-prior models |
| inla.knmodels | Spacetime interaction models |
| inla.knmodels.sample | Spacetime interaction models sampler function |
| inla.ks.plot | Kolmogorov-Smirnov Test Plots |
| inla.lattice2node | Functions to define mapping between a lattice and nodes |
| inla.lattice2node.mapping | Functions to define mapping between a lattice and nodes |
| inla.link | Link functions in INLA |
| inla.link.cauchit | Link functions in INLA |
| inla.link.cloglog | Link functions in INLA |
| inla.link.identity | Link functions in INLA |
| inla.link.invalid | Link functions in INLA |
| inla.link.invcauchit | Link functions in INLA |
| inla.link.invcloglog | Link functions in INLA |
| inla.link.inverse | Link functions in INLA |
| inla.link.invidentity | Link functions in INLA |
| inla.link.invinvalid | Link functions in INLA |
| inla.link.invinverse | Link functions in INLA |
| inla.link.invlog | Link functions in INLA |
| inla.link.invlogit | Link functions in INLA |
| inla.link.invloglog | Link functions in INLA |
| inla.link.invneglog | Link functions in INLA |
| inla.link.invprobit | Link functions in INLA |
| inla.link.invtan | Link functions in INLA |
| inla.link.log | Link functions in INLA |
| inla.link.logit | Link functions in INLA |
| inla.link.loglog | Link functions in INLA |
| inla.link.neglog | Link functions in INLA |
| inla.link.probit | Link functions in INLA |
| inla.link.tan | Link functions in INLA |
| inla.list.models | List available model components, likelihoods, priors, etc |
| inla.load | Load or source a file |
| inla.make.lincomb | Create linear combinations |
| inla.make.lincombs | Create linear combinations |
| inla.marginal | Functions which operates on marginals |
| inla.marginal.expectation | Functions which operates on marginals |
| inla.marginal.transform | Functions which operates on marginals |
| inla.matern.cov | Numerical evaluation of Matern and related covariance functions. |
| inla.matern.cov.s2 | Numerical evaluation of Matern and related covariance functions. |
| inla.matrix2vector | Functions to define mapping between a lattice and nodes |
| inla.mdata | Create an mdata-object for INLA |
| inla.mesh | Low level function for high-quality triangulations |
| inla.mesh.1d | Function space definition objects for 1D SPDE models. |
| inla.mesh.1d.A | Mapping matrix for 1D meshes |
| inla.mesh.1d.bary | Mapping matrix for 1D meshes |
| inla.mesh.1d.fem | Finite element matrices |
| inla.mesh.2d | High-quality triangulations |
| inla.mesh.assessment | Interactive mesh building and diagnostics |
| inla.mesh.basis | Basis functions for inla.mesh |
| inla.mesh.boundary | Constraint segment extraction for inla.mesh |
| inla.mesh.components | Compute connected mesh subsets |
| inla.mesh.create | Low level function for high-quality triangulations |
| inla.mesh.deriv | Directional derivative matrices for functions on meshes. |
| inla.mesh.fem | Finite element matrices |
| inla.mesh.interior | Constraint segment extraction for inla.mesh |
| inla.mesh.lattice | Lattice grids for inla.mesh |
| inla.mesh.map | Coordinate mappings for 'inla.mesh' projections. |
| inla.mesh.map.lim | Coordinate mappings for 'inla.mesh' projections. |
| inla.mesh.project | Methods for projecting to/from an inla.mesh |
| inla.mesh.project.inla.mesh | Methods for projecting to/from an inla.mesh |
| inla.mesh.project.inla.mesh.1d | Methods for projecting to/from an inla.mesh |
| inla.mesh.project.inla.mesh.projector | Methods for projecting to/from an inla.mesh |
| inla.mesh.projector | Methods for projecting to/from an inla.mesh |
| inla.mesh.projector.inla.mesh | Methods for projecting to/from an inla.mesh |
| inla.mesh.projector.inla.mesh.1d | Methods for projecting to/from an inla.mesh |
| inla.mesh.query | High-quality triangulations |
| inla.mesh.segment | Constraint segments for inla.mesh |
| inla.mesh.segment.default | Constraint segments for inla.mesh |
| inla.mesh.segment.inla.mesh.segment | Constraint segments for inla.mesh |
| inla.mmarginal | Functions which operates on marginals |
| inla.models | Valid models in INLA |
| inla.nmix.fitted | Estimate posterior distributions of fitted lambda values |
| inla.nmix.lambda.fitted | Estimate posterior distributions of fitted lambda values |
| inla.node2lattice | Functions to define mapping between a lattice and nodes |
| inla.node2lattice.mapping | Functions to define mapping between a lattice and nodes |
| inla.nonconvex.hull | Nonconvex set extensions. |
| inla.nonconvex.hull.basic | Nonconvex set extensions. |
| inla.option | Set and get global options for INLA |
| inla.options | Set and get global options for INLA |
| inla.over_sp_mesh | Check which mesh triangles are inside a polygon |
| inla.pardiso | PARDISO support in R-INLA |
| inla.pc.ar | Utility functions for the PC prior for a an AR(p) model |
| inla.pc.ar.dpacf | Utility functions for the PC prior for a an AR(p) model |
| inla.pc.ar.rpacf | Utility functions for the PC prior for a an AR(p) model |
| inla.pc.cor0 | Utility functions for the PC prior for correlation in AR(1) |
| inla.pc.cor1 | Utility functions for the PC prior for correlation in AR(1) |
| inla.pc.cormat | Utility functions for the PC prior for a correlation matrix |
| inla.pc.cormat.dim2p | Utility functions for the PC prior for a correlation matrix |
| inla.pc.cormat.dtheta | Utility functions for the PC prior for a correlation matrix |
| inla.pc.cormat.p2dim | Utility functions for the PC prior for a correlation matrix |
| inla.pc.cormat.permute | Utility functions for the PC prior for a correlation matrix |
| inla.pc.cormat.R2r | Utility functions for the PC prior for a correlation matrix |
| inla.pc.cormat.r2R | Utility functions for the PC prior for a correlation matrix |
| inla.pc.cormat.R2theta | Utility functions for the PC prior for a correlation matrix |
| inla.pc.cormat.r2theta | Utility functions for the PC prior for a correlation matrix |
| inla.pc.cormat.rtheta | Utility functions for the PC prior for a correlation matrix |
| inla.pc.cormat.theta2R | Utility functions for the PC prior for a correlation matrix |
| inla.pc.cormat.theta2r | Utility functions for the PC prior for a correlation matrix |
| inla.pc.dcor0 | Utility functions for the PC prior for correlation in AR(1) |
| inla.pc.dcor1 | Utility functions for the PC prior for correlation in AR(1) |
| inla.pc.ddof | PC-prior for dof in a standarized Student-t |
| inla.pc.dgamma | Utility functions for the PC prior for 'Gamma(1/a, 1/a)' |
| inla.pc.dgammacount | Utility functions for the PC prior for the 'gammacount' likelihood |
| inla.pc.dof | PC-prior for dof in a standarized Student-t |
| inla.pc.dprec | Utility functions for the PC prior for the precision |
| inla.pc.gamma | Utility functions for the PC prior for 'Gamma(1/a, 1/a)' |
| inla.pc.gammacount | Utility functions for the PC prior for the 'gammacount' likelihood |
| inla.pc.multvar | Multivariate PC priors |
| inla.pc.multvar.h.default | Multivariate PC priors |
| inla.pc.multvar.simplex | Multivariate PC priors |
| inla.pc.multvar.simplex.d | Multivariate PC priors |
| inla.pc.multvar.simplex.r | Multivariate PC priors |
| inla.pc.multvar.sphere | Multivariate PC priors |
| inla.pc.multvar.sphere.d | Multivariate PC priors |
| inla.pc.multvar.sphere.r | Multivariate PC priors |
| inla.pc.pcor0 | Utility functions for the PC prior for correlation in AR(1) |
| inla.pc.pcor1 | Utility functions for the PC prior for correlation in AR(1) |
| inla.pc.pgamma | Utility functions for the PC prior for 'Gamma(1/a, 1/a)' |
| inla.pc.pgammacount | Utility functions for the PC prior for the 'gammacount' likelihood |
| inla.pc.pprec | Utility functions for the PC prior for the precision |
| inla.pc.prec | Utility functions for the PC prior for the precision |
| inla.pc.qcor0 | Utility functions for the PC prior for correlation in AR(1) |
| inla.pc.qcor1 | Utility functions for the PC prior for correlation in AR(1) |
| inla.pc.qgamma | Utility functions for the PC prior for 'Gamma(1/a, 1/a)' |
| inla.pc.qgammacount | Utility functions for the PC prior for the 'gammacount' likelihood |
| inla.pc.qprec | Utility functions for the PC prior for the precision |
| inla.pc.rcor0 | Utility functions for the PC prior for correlation in AR(1) |
| inla.pc.rcor1 | Utility functions for the PC prior for correlation in AR(1) |
| inla.pc.rgamma | Utility functions for the PC prior for 'Gamma(1/a, 1/a)' |
| inla.pc.rgammacount | Utility functions for the PC prior for the 'gammacount' likelihood |
| inla.pc.rprec | Utility functions for the PC prior for the precision |
| inla.pc.t | PC-prior for dof in a standarized Student-t |
| inla.plot | Default INLA plotting |
| inla.pmarginal | Functions which operates on marginals |
| inla.posterior.sample | Generate samples from an approximated posterior of a fitted model |
| inla.q | Control and view a remote inla-queue |
| inla.qdel | Control and view a remote inla-queue |
| inla.qget | Control and view a remote inla-queue |
| inla.qinv | Computes (parts of) the inverse of a SPD sparse matrix |
| inla.qlog | Control and view a remote inla-queue |
| inla.qmarginal | Functions which operates on marginals |
| inla.qnuke | Control and view a remote inla-queue |
| inla.qreordering | Compute the reordering using the GMRFLib implementation |
| inla.qsample | Generate samples from a GMRF using the GMRFLib implementation |
| inla.qsolve | Solves linear SPD systems |
| inla.qstat | Control and view a remote inla-queue |
| inla.rbind.data.frames | Convert a Cox proportional hazard model into Poisson regression |
| inla.read.graph | Read and write a graph-object |
| inla.remote | Setup remote computing |
| inla.reorderings | Reorderings methods for sparse matrices |
| inla.rerun | Rerun an analysis |
| inla.rgeneric.ar1.model | rgeneric models |
| inla.rgeneric.define | rgeneric models |
| inla.rgeneric.iid.model | rgeneric models |
| inla.rgeneric.q | rgeneric models |
| inla.rgeneric.wrapper | rgeneric models |
| inla.rmarginal | Functions which operates on marginals |
| inla.row.kron | Row-wise Kronecker products |
| inla.scale.model | Scale an intrinsic GMRF model |
| inla.set.control.compute.default | Control variables in control.compute |
| inla.set.control.expert.default | Control variables in control.expert |
| inla.set.control.family.default | Control variables in control.family |
| inla.set.control.fixed.default | Control variables in control.fixed |
| inla.set.control.group.default | Control variables in control.group |
| inla.set.control.hazard.default | Control variables in control.hazard |
| inla.set.control.inla.default | Control variables in control.inla |
| inla.set.control.lincomb.default | Control variables in control.lincomb |
| inla.set.control.link.default | Control variables in control.link |
| inla.set.control.mix.default | Control variables in control.mix |
| inla.set.control.mode.default | Control variables in control.mode |
| inla.set.control.predictor.default | Control variables in control.predictor |
| inla.set.control.results.default | Control variables in control.results |
| inla.set.control.update.default | Control variables in control.update |
| inla.setOption | Set and get global options for INLA |
| inla.simplify.curve | Recursive curve simplification. |
| inla.smarginal | Functions which operates on marginals |
| inla.sp2segment | Convert 'sp' curve objects to 'inla.mesh.segment' objects. |
| inla.spde.create | Old SPDE model objects for INLA |
| inla.spde.make.A | Observation/prediction matrices for mesh models. |
| inla.spde.make.block.A | Observation matrices for mesh models. |
| inla.spde.make.index | SPDE model index vector generation |
| inla.spde.models | List SPDE models supported by inla.spde objects |
| inla.spde.precision | Precision matrices for SPDE models |
| inla.spde.precision.inla.spde1 | Precision matrices for SPDE models |
| inla.spde.precision.inla.spde2 | Precision matrices for SPDE models |
| inla.spde.result | SPDE result extraction from INLA estimation results |
| inla.spde.result.inla.spde1 | SPDE result extraction from INLA estimation results |
| inla.spde.result.inla.spde2 | SPDE result extraction from INLA estimation results |
| inla.spde.sample | Sample from SPDE models |
| inla.spde.sample.default | Sample from SPDE models |
| inla.spde.sample.inla.spde | Sample from SPDE models |
| inla.spde1 | Old SPDE model objects for INLA |
| inla.spde1.create | Old SPDE model objects for INLA |
| inla.spde1.imatern | Old SPDE model objects for INLA |
| inla.spde1.matern | Old SPDE model objects for INLA |
| inla.spde1.matern.osc | Old SPDE model objects for INLA |
| inla.spde1.models | List SPDE models supported by inla.spde objects |
| inla.spde1.precision | Precision matrices for SPDE models |
| inla.spde1.result | SPDE result extraction from INLA estimation results |
| inla.spde2 | Generic spde2 model creation. |
| inla.spde2.generic | Generic spde2 model creation. |
| inla.spde2.matern | Matern SPDE model object for INLA |
| inla.spde2.matern.sd.basis | Approximate variance-compensating basis functions |
| inla.spde2.models | List SPDE models supported by inla.spde objects |
| inla.spde2.pcmatern | Matern SPDE model object with PC prior for INLA |
| inla.spde2.precision | Precision matrices for SPDE models |
| inla.spde2.result | SPDE result extraction from INLA estimation results |
| inla.spde2.theta2phi0 | Generic spde2 model creation. |
| inla.spde2.theta2phi1 | Generic spde2 model creation. |
| inla.spde2.theta2phi2 | Generic spde2 model creation. |
| inla.spTransform | Wrapper method for 'sp::spTransform' |
| inla.spTransform.default | Wrapper method for 'sp::spTransform' |
| inla.spTransform.inla.mesh | Wrapper method for 'sp::spTransform' |
| inla.spTransform.inla.mesh.lattice | Wrapper method for 'sp::spTransform' |
| inla.spTransform.inla.mesh.segment | Wrapper method for 'sp::spTransform' |
| inla.spTransform.SpatialPoints | Wrapper method for 'sp::spTransform' |
| inla.spy | Construct a neighbour-matrix from a 'graph' |
| inla.ssh.copy.id | Setup remote computing |
| inla.stack | Data stacking for advanced INLA models |
| inla.stack.A | Data stacking for advanced INLA models |
| inla.stack.compress | Data stacking for advanced INLA models |
| inla.stack.data | Data stacking for advanced INLA models |
| inla.stack.index | Data stacking for advanced INLA models |
| inla.stack.join | Data stacking for advanced INLA models |
| inla.stack.LHS | Data stacking for advanced INLA models |
| inla.stack.remove.unused | Data stacking for advanced INLA models |
| inla.stack.RHS | Data stacking for advanced INLA models |
| inla.stack.sum | Data stacking for advanced INLA models |
| inla.surv | Create a Survival Object for INLA |
| inla.tmarginal | Functions which operates on marginals |
| inla.update | Upgrade the INLA-package |
| inla.upgrade | Upgrade the INLA-package |
| inla.vector2matrix | Functions to define mapping between a lattice and nodes |
| inla.version | Show the version of the INLA-package |
| inla.write.graph | Read and write a graph-object |
| inla.zmarginal | Functions which operates on marginals |
| is.inla.mdata | Create an mdata-object for INLA |
| is.inla.surv | Create a Survival Object for INLA |
| jp | Joint-prior models |
| jp.define | Joint-prior models |
| Kidney | Kidney infection data |
| ks.plot | Kolmogorov-Smirnov Test Plots |
| lattice2node | Functions to define mapping between a lattice and nodes |
| lattice2node.mapping | Functions to define mapping between a lattice and nodes |
| Leuk | The Leukemia data |
| Leukemia | The Leukemia data |
| lines.inla.mesh.segment | Draw 'inla.mesh.segment' objects. |
| link | Link functions in INLA |
| list.models | List available model components, likelihoods, priors, etc |
| make.lincomb | Create linear combinations |
| make.lincombs | Create linear combinations |
| marginal | Functions which operates on marginals |
| marginal.expectation | Functions which operates on marginals |
| marginal.transform | Functions which operates on marginals |
| matrix2vector | Functions to define mapping between a lattice and nodes |
| meshbuilder | Interactive mesh building and diagnostics |
| mmarginal | Functions which operates on marginals |
| Munich | The Munich rent data |
| NewEngland | The New England map |
| nmix.lambda.fitted | Estimate posterior distributions of fitted lambda values |
| node2lattice | Functions to define mapping between a lattice and nodes |
| node2lattice.mapping | Functions to define mapping between a lattice and nodes |
| nwEngland | The New England map |
| Oral | ~~ data name/kind ... ~~ |
| pacf2acf | Convert between parameterizations for the AR(p) model |
| pacf2phi | Convert between parameterizations for the AR(p) model |
| param2.matern.orig | Parameter settings for 'inla.spde2.matern' models. |
| pc.cor0 | Utility functions for the PC prior for correlation in AR(1) |
| pc.cor1 | Utility functions for the PC prior for correlation in AR(1) |
| pc.dcor0 | Utility functions for the PC prior for correlation in AR(1) |
| pc.dcor1 | Utility functions for the PC prior for correlation in AR(1) |
| pc.ddof | PC-prior for dof in a standarized Student-t |
| pc.dgamma | Utility functions for the PC prior for 'Gamma(1/a, 1/a)' |
| pc.dgammacount | Utility functions for the PC prior for the 'gammacount' likelihood |
| pc.dof | PC-prior for dof in a standarized Student-t |
| pc.dprec | Utility functions for the PC prior for the precision |
| pc.gamma | Utility functions for the PC prior for 'Gamma(1/a, 1/a)' |
| pc.gammacount | Utility functions for the PC prior for the 'gammacount' likelihood |
| pc.multvar | Multivariate PC priors |
| pc.multvar.h.default | Multivariate PC priors |
| pc.multvar.simplex | Multivariate PC priors |
| pc.multvar.simplex.d | Multivariate PC priors |
| pc.multvar.simplex.r | Multivariate PC priors |
| pc.multvar.sphere | Multivariate PC priors |
| pc.multvar.sphere.d | Multivariate PC priors |
| pc.multvar.sphere.r | Multivariate PC priors |
| pc.pcor0 | Utility functions for the PC prior for correlation in AR(1) |
| pc.pcor1 | Utility functions for the PC prior for correlation in AR(1) |
| pc.pgamma | Utility functions for the PC prior for 'Gamma(1/a, 1/a)' |
| pc.pgammacount | Utility functions for the PC prior for the 'gammacount' likelihood |
| pc.pprec | Utility functions for the PC prior for the precision |
| pc.prec | Utility functions for the PC prior for the precision |
| pc.qcor0 | Utility functions for the PC prior for correlation in AR(1) |
| pc.qcor1 | Utility functions for the PC prior for correlation in AR(1) |
| pc.qgamma | Utility functions for the PC prior for 'Gamma(1/a, 1/a)' |
| pc.qgammacount | Utility functions for the PC prior for the 'gammacount' likelihood |
| pc.qprec | Utility functions for the PC prior for the precision |
| pc.rcor0 | Utility functions for the PC prior for correlation in AR(1) |
| pc.rcor1 | Utility functions for the PC prior for correlation in AR(1) |
| pc.rgamma | Utility functions for the PC prior for 'Gamma(1/a, 1/a)' |
| pc.rgammacount | Utility functions for the PC prior for the 'gammacount' likelihood |
| pc.rprec | Utility functions for the PC prior for the precision |
| pc.t | PC-prior for dof in a standarized Student-t |
| phi2acf | Convert between parameterizations for the AR(p) model |
| phi2pacf | Convert between parameterizations for the AR(p) model |
| plot.CRS | Plot CRS and inla.CRS objects |
| plot.inla | Default INLA plotting |
| plot.inla.CRS | Plot CRS and inla.CRS objects |
| plot.inla.graph | Read and write a graph-object |
| plot.inla.mesh | Draw a triangulation mesh object |
| plot.inla.surv | Create a Survival Object for INLA |
| plot.inla.trimesh | Low level triangulation mesh plotting |
| pmarginal | Functions which operates on marginals |
| posterior.sample | Generate samples from an approximated posterior of a fitted model |
| PRborder | The PRborder data |
| print.inla | Print a INLA fit |
| print.inla.graph.summary | Read and write a graph-object |
| print.inla.mdata | Create an mdata-object for INLA |
| print.inla.q | Control and view a remote inla-queue |
| print.inla.surv | Create a Survival Object for INLA |
| print.summary.inla | Summary for a INLA fit |
| print.summary.inla.mesh | Summarizing triangular mesh objects |
| PRprec | The PRprec data |
| qinv | Computes (parts of) the inverse of a SPD sparse matrix |
| qmarginal | Functions which operates on marginals |
| qreordering | Compute the reordering using the GMRFLib implementation |
| qsample | Generate samples from a GMRF using the GMRFLib implementation |
| qsolve | Solves linear SPD systems |
| rbind.inla.data.stack.info | Internal function for merging raw stack information |
| read.graph | Read and write a graph-object |
| reorderings | Reorderings methods for sparse matrices |
| rerun | Rerun an analysis |
| rgeneric | rgeneric models |
| rgeneric.ar1.model | rgeneric models |
| rgeneric.define | rgeneric models |
| rgeneric.iid.model | rgeneric models |
| rgeneric.q | rgeneric models |
| rgeneric.wrapper | rgeneric models |
| rmarginal | Functions which operates on marginals |
| Salm | Extra-Poisson variation in dose-response study |
| scale.model | Scale an intrinsic GMRF model |
| Scotland | Conditional Autoregressive (CAR) model for disease mapping |
| Seeds | Factorial design |
| set.control.compute.default | Control variables in control.compute |
| set.control.expert.default | Control variables in control.expert |
| set.control.family.default | Control variables in control.family |
| set.control.fixed.default | Control variables in control.fixed |
| set.control.group.default | Control variables in control.group |
| set.control.hazard.default | Control variables in control.hazard |
| set.control.inla.default | Control variables in control.inla |
| set.control.lincomb.default | Control variables in control.lincomb |
| set.control.link.default | Control variables in control.link |
| set.control.mix.default | Control variables in control.mix |
| set.control.mode.default | Control variables in control.mode |
| set.control.predictor.default | Control variables in control.predictor |
| set.control.results.default | Control variables in control.results |
| set.control.update.default | Control variables in control.update |
| smarginal | Functions which operates on marginals |
| SPDEtoy | toy simulated data set for the SPDE tutorial |
| spy | Construct a neighbour-matrix from a 'graph' |
| ssh.copy.id | Setup remote computing |
| summary.inla | Summary for a INLA fit |
| summary.inla.graph | Read and write a graph-object |
| summary.inla.mesh | Summarizing triangular mesh objects |
| summary.inla.q | Control and view a remote inla-queue |
| summary.surv.inla | Summary for a INLA fit |
| Surg | Surgical: Institutional ranking |
| SurvSim | Survival data |
| Tokyo | Binomial time series |
| vector2matrix | Functions to define mapping between a lattice and nodes |
| version | Show the version of the INLA-package |
| write.graph | Read and write a graph-object |
| Zambia | Semiparametric regression |
| zmarginal | Functions which operates on marginals |