inlabru Software

The inlabru R package is being developed as part of this project 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).

We have a website dedicated to the software which can be found here.

There you will find information on how to download the package and associated packages (e.g. INLA).

There are also a set of tutorials to help get a grasp of what inlabru can do and some projects to which it has been applied.