This page contains instructions to download and install the R-INLA package

You may chose to install suggested packages: 
c("numDeriv", "Rgraphviz", "graph", "fields", "rgl", "mvtnorm", "parallel", "pixmap", "splancs", "orthopolynom", "compiler"), but these are required only for advanced use.

We have created a standard R-repository, so that 'install.packages' and 'update.packages' will work as expected. You need to add the address to the INLA-repository, as

> install.packages("INLA", repos="http://www.math.ntnu.no/inla/R/stable")

for the stable version, OR

> install.packages("INLA", repos="http://www.math.ntnu.no/inla/R/testing")

for the testing version. Do simular using 'update.packages()'.

You can also just append the INLA-repos to the  global 'repos' variable, like

> options(respos = c(getOption("repos"), INLA="http://www.math.ntnu.no/inla/R/testing"))

and then you can do

> update.packages("INLA")

etc, to install and update the package, without specifying the repos. 




Small prints:
  • All source code for this project is now hosted by bitbucket and you can view the latest changes here.
  • Software licenses
  • In case you want to know the details the inla-program which is the backend-program which do all the computations, you can download the manual here. However, it is not up-to-date with respect to new models but the input/output file-format is well described. 
  • Compile it yourself? Download build-packages and compile it yourself. You will need to install mercurial which is available in all larger Linux distros and binaries for Mac OSX is available from the same site.
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