Files in andrewzm/INLA
Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion

BinaryFiles

DESCRIPTION

NAMESPACE

R/Makefile

R/ar.R R/binary.R R/changelog.R R/collect.results.R R/compare.results.R R/contributed-1.R R/coxph.R R/cpo.R R/create.data.file.R R/cygwin.R R/debug.graph.R R/dev.new.R R/display.matrix.R R/doc.R R/expand.dataframe.R R/f.R R/finn.R R/fmesher-io.R R/fmesher.R R/graph.convert.R R/graph.matrix.R R/group.R R/hyper.R R/hyperpar.R R/idx.R R/inla.R R/inlaEnv.R R/interpret.formula.R R/lattice2node.R R/lincomb.R R/link-functions.R

R/make-man-pages

R/make-man-pages.timestamp

R/marginal.R R/mesh.R R/model-wrapper.R R/models-generate.R R/models.R R/obsolete.R R/options.R R/os.R R/pc-ar.R R/pc-bym.R R/pc-cormat.R R/pc-multvar.R R/pc-prec.R R/pc-rho0.R R/pc-rho1.R R/plot.R R/posterior.sample.R R/print.R R/q.R R/qinv.R R/qreordering.R R/qsample.R R/qsolve.R R/read.graph.R R/remote.R R/reorderings.R R/rerun.R R/residuals.R R/rgeneric.R R/sampler.R R/sandbox.R R/sections.R R/set.default.arguments.R R/show.hyperspec.R R/sm.R R/spde.common.R R/spde1.R R/spde2.R R/spde3.R R/spmesh.R R/summary.R R/surv.R R/upgrade.R R/utils.R R/version.R README.md

data/BivMetaAnalysis.OLD.rda

data/BivMetaAnalysis.rda

data/Cancer.rda

data/Drivers.rda

data/Epil.rda

data/Germany.rda

data/Kidney.rda

data/Leuk.rda

data/Munich.rda

data/Oral.rda

data/PRborder.rda

data/PRprec.rda

data/SPDEtoy.rda

data/Salm.rda

data/Scotland.rda

data/Seeds.rda

data/Surg.rda

data/SurvSim.rda

data/Tokyo.rda

data/Zambia.rda

demo/00Index

demo/Bym.R demo/Epil.R demo/Graph.R demo/Leuk.R demo/LeukPCprior.R demo/Tokyo-compare.R demo/Tokyo.R

inst/CITATION

inst/bin/linux/fmesher32

inst/bin/linux/fmesher64

inst/bin/linux/inla32

inst/bin/linux/inla64

inst/bin/mac/32bit/fmesher

inst/bin/mac/32bit/fmesher.binary

inst/bin/mac/32bit/inla

inst/bin/mac/32bit/inla.binary

inst/bin/mac/32bit/libX11.6.dylib

inst/bin/mac/32bit/libXau.6.dylib

inst/bin/mac/32bit/libXdmcp.6.dylib

inst/bin/mac/32bit/libgcc_s.1.dylib

inst/bin/mac/32bit/libgfortran.3.dylib

inst/bin/mac/32bit/libgomp.1.dylib

inst/bin/mac/32bit/libquadmath.0.dylib

inst/bin/mac/32bit/libstdc++.6.dylib

inst/bin/mac/32bit/libxcb.1.dylib

inst/bin/mac/64bit/fmesher

inst/bin/mac/64bit/fmesher.binary

inst/bin/mac/64bit/inla

inst/bin/mac/64bit/inla.binary

inst/bin/mac/64bit/libX11.6.dylib

inst/bin/mac/64bit/libXau.6.dylib

inst/bin/mac/64bit/libXdmcp.6.dylib

inst/bin/mac/64bit/libgcc_s.1.dylib

inst/bin/mac/64bit/libgfortran.3.dylib

inst/bin/mac/64bit/libgomp.1.dylib

inst/bin/mac/64bit/libquadmath.0.dylib

inst/bin/mac/64bit/libstdc++.6.dylib

inst/bin/mac/64bit/libxcb.1.dylib

inst/bin/remote/dot.inlarc-example

inst/bin/remote/dot.inlarc-example-windows

inst/bin/remote/inla.q

inst/bin/remote/inla.q.cygwin

inst/bin/remote/inla.remote

inst/bin/remote/inla.remote.cygwin

inst/bin/remote/inla.submit

inst/bin/remote/inla.submit.cygwin

inst/bin/remote/ssh-copy-id

inst/bin/windows/fmesher32.exe

inst/bin/windows/fmesher64.exe

inst/bin/windows/inla32.exe

inst/bin/windows/inla64.exe

inst/demodata/Bym-map.R

inst/demodata/Bym.map

inst/demodata/Leuk-map.R

inst/demodata/Leuk.graph

inst/demodata/Leuk.map

inst/demodata/Leuk.names.regions

inst/demodata/ddr.graph

inst/demodata/germany.graph

inst/demodata/munich.graph

inst/demodata/scotland.graph

inst/demodata/zambia.graph

andrewzm/INLA documentation built on May 10, 2019, 11:12 a.m.

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Note that we can't provide technical support on individual packages. You should contact the package authors for that.

andrewzm/INLA
Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion

Files in andrewzm/INLA
Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion

R Package Documentation

Browse R Packages

We want your feedback!

andrewzm/INLA Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion

Files in andrewzm/INLA Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion

R Package Documentation

Browse R Packages

We want your feedback!

andrewzm/INLA
Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion

Files in andrewzm/INLA
Functions which allow to perform full Bayesian analysis of latent Gaussian models using Integrated Nested Laplace Approximaxion