Man pages for andrewzm/INLA
Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion
| 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 |
| 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 |
| 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.dBind | Build a block-diagonal sparse matrix. |
| 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.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.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.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.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 |
| marginal | Functions which operates on marginals |
| models | Valid models in INLA |
| Munich | The Munich rent data |
| 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-cormat | Utility functions for the PC prior for a correlation matrix |
| 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) |
| plot | Default INLA plotting |
| 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... |
| Scotland | Conditional Autoregressive (CAR) model for disease mapping |
| Seeds | Factorial design |
| show.hyperspec | List all priors for the hyperparameters used |
| 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 |
