| idx |
Convert indexes |
| iidkd.sample |
Provide samples from the 'iidkd' component (experimental) |
| INLA |
INLA |
| inla |
Bayesian analysis of structured additive models |
| inla-class |
inla estimation object class |
| inla.1djmarginal |
Sample, transform and evaluate from a joint marginal approximation |
| inla.agaussian |
Aggregate Gaussian into an equivalent observation |
| 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.as.wkt.wkt_tree |
Internal WKT handling |
| inla.as.wkt_tree.wkt |
Internal WKT handling |
| 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.binary.install |
Install alternative binary builds. |
| inla.cgeneric.define |
cgeneric models |
| inla.cgeneric.q |
cgeneric models |
| inla.changelog |
inla.changelog |
| inla.changes |
inla.changelog |
| inla.collect.results |
Collect results from a inla-call |
| inla.contour.segment |
Constraint segments for inla.mesh |
| 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.crs_get_ellipsoid_radius |
Handling CRS/WKT |
| inla.crs_get_lengthunit |
Handling CRS/WKT |
| inla.crs_get_wkt |
Handling CRS/WKT |
| inla.crs_is_geocent |
Handling CRS/WKT |
| inla.crs_set_ellipsoid_radius |
Handling CRS/WKT |
| inla.crs_set_lengthunit |
Handling CRS/WKT |
| 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.dryrun |
Do a dryrun to extract some internal information upfront |
| inla.emarginal |
Functions which operates on marginals |
| inla.external.lib |
Return the path to the cgeneric-library for a pre-compiled external package |
| 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.fallback_PROJ6 |
PROJ6 detection |
| 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.get.inlaEnv |
Return the internal environment used by INLA |
| 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.group.cv |
Compute group.cv-values |
| inla.has_PROJ6 |
PROJ6 detection |
| inla.hpdmarginal |
Functions which operates on marginals |
| inla.hyperpar |
Improved estimates for the hyperparameters (classic-mode only) |
| 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.iidkd.sample |
Provide samples from the 'iidkd' component (experimental) |
| inla.inla.doc |
View documentation |
| inla.is.marginal |
Functions which operates on marginals |
| inla.joint.marginal |
Sample, transform and evaluate from a joint marginal approximation |
| inla.joint.marginal.eval |
Sample, transform and evaluate from a joint marginal approximation |
| 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.likelihood |
Providing functions for sampling new data, evaluating pdf, cdf, and quantiles for new data. |
| inla.link |
Link functions in INLA |
| inla.link.cauchit |
Link functions in INLA |
| inla.link.ccloglog |
Link functions in INLA |
| inla.link.cgevit |
Link functions in INLA |
| inla.link.cloglog |
Link functions in INLA |
| inla.link.gevit |
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.invccloglog |
Link functions in INLA |
| inla.link.invcgevit |
Link functions in INLA |
| inla.link.invcloglog |
Link functions in INLA |
| inla.link.inverse |
Link functions in INLA |
| inla.link.invgevit |
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.invqpoisson |
Link functions in INLA |
| inla.link.invrobit |
Link functions in INLA |
| inla.link.invsn |
Link functions in INLA |
| inla.link.invtan |
Link functions in INLA |
| inla.link.invtan.pi |
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.robit |
Link functions in INLA |
| inla.link.sn |
Link functions in INLA |
| inla.link.tan |
Link functions in INLA |
| inla.link.tan.pi |
Link functions in INLA |
| inla.list.models |
List available model components, likelihoods, priors, etc |
| inla.make.lincomb |
Create linear combinations |
| inla.make.lincombs |
Create linear combinations |
| inla.marginal |
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.matrix2graph |
Construct a neighbour-matrix from a 'graph' |
| inla.matrix2vector |
Functions to define mapping between a lattice and nodes |
| inla.mdata |
Create an mdata-object for INLA |
| inla.merge |
Merge a mixture of 'inla'-objects |
| 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 |
Function space definition objects for 1D SPDE models. |
| 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.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.not_for_PROJ4 |
PROJ6 detection |
| inla.not_for_PROJ6 |
PROJ6 detection |
| 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 |
Describe and check the PARDISO support in R-INLA |
| inla.pardiso.check |
Describe and check the PARDISO support in R-INLA |
| inla.pc.alphaw |
Utility functions for the PC prior for the 'alpha' parameter in the Weibull likelihood |
| 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.dalphaw |
Utility functions for the PC prior for the 'alpha' parameter in the Weibull likelihood |
| 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 standardized 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.dgevtail |
Utility functions for the PC prior for the 'tail' parameter in the GEV likelihood |
| inla.pc.dof |
PC-prior for dof in a standardized Student-t |
| inla.pc.dprec |
Utility functions for the PC prior for the precision |
| inla.pc.dsn |
Utility functions for the PC prior for 'skewness' in the skew-normal linkfunction and likelihood |
| inla.pc.dvm0 |
Utility functions for the PC prior for the precision |
| inla.pc.dvminf |
Utility functions for the PC prior for the concentration of von Mises distribution with point mass base model |
| 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.gevtail |
Utility functions for the PC prior for the 'tail' parameter in the GEV 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.palphaw |
Utility functions for the PC prior for the 'alpha' parameter in the Weibull likelihood |
| 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.pgevtail |
Utility functions for the PC prior for the 'tail' parameter in the GEV 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.psn |
Utility functions for the PC prior for 'skewness' in the skew-normal linkfunction and likelihood |
| inla.pc.pvm0 |
Utility functions for the PC prior for the precision |
| inla.pc.pvminf |
Utility functions for the PC prior for the concentration of von Mises distribution with point mass base model |
| inla.pc.qalphaw |
Utility functions for the PC prior for the 'alpha' parameter in the Weibull likelihood |
| 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.qgevtail |
Utility functions for the PC prior for the 'tail' parameter in the GEV likelihood |
| inla.pc.qprec |
Utility functions for the PC prior for the precision |
| inla.pc.qsn |
Utility functions for the PC prior for 'skewness' in the skew-normal linkfunction and likelihood |
| inla.pc.qvm0 |
Utility functions for the PC prior for the precision |
| inla.pc.qvminf |
Utility functions for the PC prior for the concentration of von Mises distribution with point mass base model |
| inla.pc.ralphaw |
Utility functions for the PC prior for the 'alpha' parameter in the Weibull likelihood |
| 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.rgevtail |
Utility functions for the PC prior for the 'tail' parameter in the GEV likelihood |
| inla.pc.rprec |
Utility functions for the PC prior for the precision |
| inla.pc.rsn |
Utility functions for the PC prior for 'skewness' in the skew-normal linkfunction and likelihood |
| inla.pc.rvm0 |
Utility functions for the PC prior for the precision |
| inla.pc.rvminf |
Utility functions for the PC prior for the concentration of von Mises distribution with point mass base model |
| inla.pc.sn |
Utility functions for the PC prior for 'skewness' in the skew-normal linkfunction and likelihood |
| inla.pc.t |
PC-prior for dof in a standardized Student-t |
| inla.pc.vm0 |
Utility functions for the PC prior for the precision |
| inla.pc.vminf |
Utility functions for the PC prior for the concentration of von Mises distribution with point mass base model |
| inla.pin |
Control main thread pinning for INLA (experimental) |
| inla.plot |
Default INLA plotting |
| inla.pmarginal |
Functions which operates on marginals |
| inla.posterior.sample |
Generate samples, and functions thereof, from an approximated posterior of a fitted model |
| inla.posterior.sample.eval |
Generate samples, and functions thereof, from an approximated posterior of a fitted model |
| inla.priors.used |
Print priors used |
| inla.prune |
Prune the INLA-package |
| 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.requires_PROJ6 |
PROJ6 detection |
| inla.rerun |
Rerun an analysis |
| inla.rgeneric.ar1.model |
rgeneric models |
| inla.rgeneric.ar1.model.opt |
rgeneric models |
| inla.rgeneric.define |
rgeneric models |
| inla.rgeneric.iid.model |
rgeneric models |
| inla.rgeneric.q |
rgeneric models |
| inla.rgeneric.wrapper |
rgeneric models |
| inla.rjmarginal |
Sample, transform and evaluate from a joint marginal approximation |
| inla.rjmarginal.eval |
Sample, transform and evaluate from a joint marginal approximation |
| inla.rmarginal |
Functions which operates on marginals |
| inla.rprior.define |
Define prior in R |
| inla.sample |
Generate samples, and functions thereof, from an approximated posterior of a fitted model |
| inla.scale.model |
Scale an intrinsic GMRF model |
| inla.scale.model.internal |
Scale an intrinsic GMRF model |
| inla.scopy.define |
Get the parameterisation of the 'scopy' model |
| inla.scopy.summary |
Computes the mean and stdev for the spline from 'scopy' |
| inla.set.control.bgev.default |
control.bgev |
| inla.set.control.compute.default |
control.compute |
| inla.set.control.expert.default |
control.expert |
| inla.set.control.family.default |
control.family |
| inla.set.control.fixed.default |
control.fixed |
| inla.set.control.gcpo.default |
control.gcpo |
| inla.set.control.group.default |
control.group |
| inla.set.control.hazard.default |
control.hazard |
| inla.set.control.inla.default |
control.inla |
| inla.set.control.lincomb.default |
control.lincomb |
| inla.set.control.link.default |
control.link |
| inla.set.control.lp.scale.default |
control.lp.scale |
| inla.set.control.mix.default |
control.mix |
| inla.set.control.mode.default |
control.mode |
| inla.set.control.pardiso.default |
control.pardiso |
| inla.set.control.pom.default |
control.pom |
| inla.set.control.predictor.default |
control.predictor |
| inla.set.control.scopy.default |
control.scopy |
| inla.set.control.sem.default |
control.sem |
| inla.set.control.stiles.default |
control.stiles |
| inla.set.control.taucs.default |
control.taucs |
| inla.set.control.update.default |
control.update |
| inla.set.control.vb.default |
control.fixed |
| 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' objects to 'inla.mesh.segment' objects. |
| 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 |
Matern SPDE model object for INLA |
| inla.spde2.theta2phi1 |
Matern SPDE model object for INLA |
| inla.spde2.theta2phi2 |
Matern SPDE model object for INLA |
| inla.spTransform |
Wrapper method for 'fmesher::fm_transform' |
| inla.spy |
Construct a neighbour-matrix from a 'graph' |
| inla.sp_get_crs |
Extract CRS information |
| 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.response |
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.tjmarginal |
Sample, transform and evaluate from a joint marginal approximation |
| inla.tmarginal |
Functions which operates on marginals |
| inla.unpin |
Control main thread pinning for INLA (experimental) |
| 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.wkt_get_ellipsoid_radius |
Handling CRS/WKT |
| inla.wkt_get_lengthunit |
Handling CRS/WKT |
| inla.wkt_is_geocent |
Handling CRS/WKT |
| inla.wkt_predef |
Create a coordinate reference system object |
| inla.wkt_set_ellipsoid_radius |
Handling CRS/WKT |
| inla.wkt_set_lengthunit |
Handling CRS/WKT |
| inla.wkt_tree_get_item |
Internal WKT handling |
| inla.wkt_tree_set_item |
Internal WKT handling |
| inla.wkt_unit_params |
Handling CRS/WKT |
| 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 |
| 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. |
| pardiso |
Describe and check the PARDISO support in R-INLA |
| pc.alphaw |
Utility functions for the PC prior for the 'alpha' parameter in the Weibull likelihood |
| 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.dalphaw |
Utility functions for the PC prior for the 'alpha' parameter in the Weibull likelihood |
| 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 standardized 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.dgevtail |
Utility functions for the PC prior for the 'tail' parameter in the GEV likelihood |
| pc.dof |
PC-prior for dof in a standardized Student-t |
| pc.dprec |
Utility functions for the PC prior for the precision |
| pc.dsn |
Utility functions for the PC prior for 'skewness' in the skew-normal linkfunction and likelihood |
| pc.dvm0 |
Utility functions for the PC prior for the precision |
| pc.dvminf |
Utility functions for the PC prior for the concentration of von Mises distribution with point mass base model |
| 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.gevtail |
Utility functions for the PC prior for the 'tail' parameter in the GEV 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.palphaw |
Utility functions for the PC prior for the 'alpha' parameter in the Weibull likelihood |
| 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.pgevtail |
Utility functions for the PC prior for the 'tail' parameter in the GEV likelihood |
| pc.pprec |
Utility functions for the PC prior for the precision |
| pc.prec |
Utility functions for the PC prior for the precision |
| pc.psn |
Utility functions for the PC prior for 'skewness' in the skew-normal linkfunction and likelihood |
| pc.pvm0 |
Utility functions for the PC prior for the precision |
| pc.pvminf |
Utility functions for the PC prior for the concentration of von Mises distribution with point mass base model |
| pc.qalphaw |
Utility functions for the PC prior for the 'alpha' parameter in the Weibull likelihood |
| 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.qgevtail |
Utility functions for the PC prior for the 'tail' parameter in the GEV likelihood |
| pc.qprec |
Utility functions for the PC prior for the precision |
| pc.qsn |
Utility functions for the PC prior for 'skewness' in the skew-normal linkfunction and likelihood |
| pc.qvm0 |
Utility functions for the PC prior for the precision |
| pc.qvminf |
Utility functions for the PC prior for the concentration of von Mises distribution with point mass base model |
| pc.ralphaw |
Utility functions for the PC prior for the 'alpha' parameter in the Weibull likelihood |
| 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.rgevtail |
Utility functions for the PC prior for the 'tail' parameter in the GEV likelihood |
| pc.rprec |
Utility functions for the PC prior for the precision |
| pc.rsn |
Utility functions for the PC prior for 'skewness' in the skew-normal linkfunction and likelihood |
| pc.rvm0 |
Utility functions for the PC prior for the precision |
| pc.rvminf |
Utility functions for the PC prior for the concentration of von Mises distribution with point mass base model |
| pc.sn |
Utility functions for the PC prior for 'skewness' in the skew-normal linkfunction and likelihood |
| pc.t |
PC-prior for dof in a standardized Student-t |
| pc.vm0 |
Utility functions for the PC prior for the precision |
| pc.vminf |
Utility functions for the PC prior for the concentration of von Mises distribution with point mass base model |
| phi2acf |
Convert between parameterizations for the AR(p) model |
| phi2pacf |
Convert between parameterizations for the AR(p) model |
| plot.inla |
Default INLA plotting |
| 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, and functions thereof, from an approximated posterior of a fitted model |
| posterior.sample.eval |
Generate samples, and functions thereof, from an approximated posterior of a fitted model |
| PRborder |
The PRborder data |
| print.inla |
Print an INLA fit |
| print.inla.data.stack |
Data stacking for advanced INLA models |
| print.inla.graph.summary |
Read and write a graph-object |
| print.inla.jmarginal |
Sample, transform and evaluate from a joint marginal approximation |
| 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.jmarginal |
Sample, transform and evaluate from a joint marginal approximation |
| print.summary.inla.mesh |
Summarizing triangular mesh objects |
| priors.used |
Print priors used |
| PRprec |
The PRprec data |
| prune |
Prune the INLA-package |
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