This page contains instructions to download and install the R-INLA package
Before you start, make sure you have installed the package 'sp' as INLA requires it. You may also install the packages: numDeriv, Rgraphviz (from Bioconductor), fields, rgl, mvtnorm, multicore, pixmap, but these are required only for advanced use and are normally not required and are hence only 'suggested'.
You can then install the R-INLA package using one of the following alternatives:
1. The easy way
Type the following command line in R
later on, you can upgrade using
(Ooops: There are two versions of the R-INLA package; one more stable and one that is in active development. To get the test-version do
but you can go back to the more stable version with testing=FALSE. See this link for further information.)
2. The regular way:
Download the package choosing one of the following alternatives
and install it. For Linux and Mac, do
> install.packages("INLA.tgz", repos=NULL, type="source")
for Windows, start R and select the Packages menu, then Install
package from local zip file by find and highlight the location of the
zip file and click on open.
- All source code for this project is now hosted by google code 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.