## NIMBLE: Programmable Statistical Modeling for Hierarchical/Graphical Models

poster

posted on 28.01.2020 by Christopher Paciorek, Perry de Valpine, Daniel Turek#### poster

Poster sessions are particularly prominent at academic conferences. Posters are usually one frame of a powerpoint (or similar) presentation and are represented at full resolution to make them zoomable.

NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive methods. NIMBLE is built in R but compiles your models and algorithms using C++ for speed. It includes three components:

- A system for using models written in the BUGS model language as programmable objects in R.
- An initial library of algorithms for models written in BUGS, including basic MCMC, which can be used directly or can be customized from R before being compiled and run.
- A language embedded in R for programming algorithms for models, both of which are compiled through C++ code and loaded into R.

NIMBLE can also be used without BUGS models as a way to compile simple R-like code into C++, which is then compiled and loaded into R with an interface function or object.