ar | Convert between parameterizations for the AR(p) model |
as.inla.mesh.segment | Convert 'sp' curve objects to 'inla.mesh.segment' objects. |
barrier | Functions for defining the Barrier models |
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.gev2.default | Control variables in control.gev2.default |
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 | Return the 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-class | inla |
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.over_sp_mesh | Check which mesh triangles are inside a polygon |
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 |
jp | Joint-prior models |
Kidney | Kidney infection data |
knmodels | Spacetime interaction models |
knmodels.sample | Spacetime interaction models sampler function |
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 |
merge | Merge a mixture of 'inla'-objects |
meshassessment | Interactive mesh building and diagnostics |
meshbuilder | Interactive mesh building and diagnostics |
mesh.components | Compute connected mesh subsets |
models | Valid models in INLA |
Munich | The Munich rent data |
nmix.lambda.fitted | Estimate posterior distributions of fitted lambda values |
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. |
pardiso | PARDISO support in R-INLA |
pc-alphaw | Utility functions for the PC prior for the 'alpha' parameter... |
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-gev | Utility functions for the PC prior for the 'tail' parameter... |
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, and functions thereof, from an approximated... |
PRborder | The PRborder data |
Print a INLA fit | |
priors.used | Print priors used |
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 |
rbind.inla.data.stack.info | Internal function for merging raw stack information |
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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