Functions which Allow to Perform Full Bayesian Analysis of Latent Gaussian Models using Integrated Nested Laplace Approximations

ar | Convert between parameterizations for the AR(p) model |

as.inla.mesh.segment | Convert 'sp' curve objects to 'inla.mesh.segment' objects. |

BivMetaAnalysis | Bivariate Meta Analysis |

Cancer | ~~ data name/kind ... ~~ |

changelog | inla.changelog |

collect.results | Collect results from a inla-call |

compare.results | Compare INLA and MCMC results |

contributed-1 | Computes the standard deviation for the structured (random)... |

control.compute | Control variables in control.compute |

control.expert | Control variables in control.expert |

control.family | Control variables in control.family |

control.fixed | Control variables in control.fixed |

control.group | Control variables in control.group |

control.hazard | Control variables in control.hazard |

control.inla | Control variables in control.inla |

control.lincomb | Control variables in control.lincomb |

control.link | Control variables in control.link |

control.mix | Control variables in control.mix |

control.mode | Control variables in control.mode |

control.predictor | Control variables in control.predictor |

control.results | Control variables in control.results |

control.update | Control variables in control.update |

coxph | Convert a Cox proportional hazard model into Poisson... |

cpo | Improved estimates for the CPO/PIT-values |

cut | Group-wise model criticism using node-splitting |

debug.graph | Debug a graph-file |

dev.new | Opens a new device |

doc | View documentation |

Drivers | Time series with seasonal effect |

Epil | Repeated measures on Poisson counts |

extract.groups | Extract tagged boundary/internal segments. |

f | Define general Gaussian models in the INLA formula |

fgn | Lookup coefficients in the 3-component AR(1) mixture... |

Germany | Disease Mapping |

graph.convert | INLA utility functions |

graph.matrix | Construct a neighbour-matrix from a 'graph' |

group | Group or cluster covariates |

hyperpar | Improved estimates for the hyperparameters |

idx | Convert indexes |

inla | Bayesian analysis of structured additive models |

inla.CRS | Create a coordinate reference system object |

inla.CRSargs | Show expanded CRS arguments |

inla.dBind | Build a block-diagonal sparse matrix. |

inla.diameter | Diameter of a point set |

inla.extract.el | Extract elements by matching name from container objects. |

inla.fmesher.smorg | Compute various mesh related quantities. |

inla.generate.colors | Generate text RGB color specifications. |

inla.identical.CRS | Test CRS and inla.CRS for equality |

inla.matern.cov | Numerical evaluation of Matern and related covariance... |

inla.mesh.1d | Function space definition objects for 1D SPDE models. |

inla.mesh.1d.A | Mapping matrix for 1D meshes |

inla.mesh.2d | High-quality triangulations |

inla.mesh.basis | Basis functions for inla.mesh |

inla.mesh.boundary | Constraint segment extraction for inla.mesh |

inla.mesh.create | Low level function for high-quality triangulations |

inla.mesh.create.helper | High-quality triangulations |

inla.mesh.deriv | Directional derivative matrices for functions on meshes. |

inla.mesh.fem | Finite element matrices |

inla.mesh.lattice | Lattice grids for inla.mesh |

inla.mesh.map | Coordinate mappings for 'inla.mesh' projections. |

inla.mesh.project | Methods for projecting to/from an inla.mesh |

inla.mesh.query | High-quality triangulations |

inla.mesh.segment | Constraint segments for inla.mesh |

inla.nonconvex.hull | Nonconvex set extensions. |

INLA-package | Integrated Nested Laplace Approximation |

inla.row.kron | Row-wise Kronecker products |

inla.sens | Testing code for sensitivity |

inla.simplify.curve | Recursive curve simplification. |

inla.spde1.create | Old SPDE model objects for INLA |

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.pcmatern | Matern SPDE model object with PC prior 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.result | SPDE result extraction from INLA estimation results |

inla.spde.sample | Sample from SPDE models |

inla.spTransform | Wrapper method for 'sp::spTransform' |

inla.stack | Data stacking for advanced INLA models |

Kidney | Kidney infection data |

lattice2node | Functions to define mapping between a lattice and nodes |

Leuk | The Leukemia data |

lincomb | Create linear combinations |

lines.inla.mesh.segment | Draw 'inla.mesh.segment' objects. |

link-functions | Link functions in INLA |

list-models | List available model components, likelihoods, priors, etc |

load | Load or source a file |

marginal | Functions which operates on marginals |

mdata | Create an mdata-object for INLA |

models | Valid models in INLA |

Munich | The Munich rent data |

nwEngland | The New England map |

options | Set and get global options for INLA |

Oral | ~~ data name/kind ... ~~ |

param2.matern.orig | Parameter settings for 'inla.spde2.matern' models. |

pc-ar | Utility functions for the PC prior for a an AR(p) model |

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-cormat | Utility functions for the PC prior for a correlation matrix |

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'... |

pc-multvar | Multivariate PC priors |

pc-prec | Utility functions for the PC prior for the precision |

pc-rho0 | Utility functions for the PC prior for correlation in AR(1) |

pc-rho1 | Utility functions for the PC prior for correlation in AR(1) |

pc-t | PC-prior for dof in a standarized Student-t |

plot | Default INLA plotting |

plot.inla.CRS | Plot CRS and inla.CRS objects |

plot.inla.mesh | Draw a triangulation mesh object |

plot.inla.trimesh | Low level triangulation mesh plotting |

posterior.sample | Generate samples from an approximated posterior of a fitted... |

PRborder | The PRborder data |

Print a INLA fit | |

PRprec | The PRprec data |

q | Control and view a remote inla-queue |

qinv | Computes (parts of) the inverse of a SPD sparse matrix |

qreordering | Compute the reordering using the GMRFLib implementation |

qsample | Generate samples from a GMRF using the GMRFLib implementation |

qsolve | Solves linear SPD systems |

read.graph | Read and write a graph-object |

remote | Setup remote computing |

reorderings | Reorderings methods for sparse matrices |

rerun | Rerun an analysis |

residuals | Kolmogorov-Smirnov Test Plots |

rgeneric | rgeneric models |

Salm | Extra-Poisson variation in dose-response study |

sampler | Produce samples from the approximated joint posterior for the... |

scale.model | Scale an intrinsic GMRF model |

Scotland | Conditional Autoregressive (CAR) model for disease mapping |

Seeds | Factorial design |

sensitivity | Calculate sensitivity measurements |

sm | Convert a matrix or sparse matrix into the sparse formate... |

SPDEtoy | toy simulated data set for the SPDE tutorial |

summary | Summary for a INLA fit |

summary.inla.mesh | Summarizing triangular mesh objects |

Surg | Surgical: Institutional ranking |

surv | Create a Survival Object for INLA |

SurvSim | Survival data |

Tokyo | Binomial time series |

upgrade | Upgrade the INLA-package |

version | Show the version of the INLA-package |

Zambia | Semiparametric regression |

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