Hooray, we are on CRAN!

We are happy to announce that inlabru is now part of the CRAN library. While the syntax has not changed we have fixed a lot of bugs and streamlined the general interface. Most importantly, inlabru now comes with extensive documentation and a lot of exemplary code. Note that most of the interesting functionality still requires the INLA package, which, due to a CRAN policy, will not be installed automatically. You can obtain the two packages by running

install.packages("INLA", repos="")

Found a bug?

inlabru is hosted on Github, which provides an interface to report and track bugs. If you encounter a problem please report it here.

What is this?

The inlabru R package is being developed as part of a research project entitled “Modelling spatial distribution and change from wildlife survey data”, which is funded by the UK Engineering and Physical Sciences Research Council, to develop and implement innovative methods to model spatial distribution and change from ecological survey data. It involves developing Integrated Nested Laplace Approximation (INLA) methods for fitting realistically complex spatial models to data obtained from surveys on which the probability of detecting population members is unknown.

The project is a collaborative effort between the Universities of St Andrews (David Borchers, Janine Illian, Steve Buckland and Joyce Yuan) and Edinburgh (Finn Lindgren and Fabian E. Bachl).