Documentation

User Manual

The manual provides information for those wishing to use NIMBLE to work with their own models as well as algorithm developers wishing to write algorithms using NIMBLE.

Training materials

Please see our Github repository of training materials for materials from our various NIMBLE training workshops, including workshops developed for statisticans and workshops developed for ecologists.

Other links

Paper

The following paper describes the motivation and design of NIMBLE:

de Valpine, P., D. Turek, C.J. Paciorek, C. Anderson-Bergman, D. Temple Lang, and R. Bodik. 2017. Programming with models: writing statistical algorithms for general model structures with NIMBLE. Journal of Computational and Graphical Statistics.  https://doi.org/10.1080/10618600.2016.1172487.