Strategies for fitting nonlinear ecological models in R, AD Model Builder, and BUGS
2. R is convenient and (relatively) easy to learn, AD Model Builder is fast and robust but comes with a steep learning curve, while BUGS provides the greatest flexibility at the price of speed.
3. Our model-fitting suggestions range from general cultural advice (where possible, use the tools and models that are most common in your subfield) to specific suggestions about how to change the mathematical description of models to make them more amenable to parameter estimation.
4. A companion web site (https://groups.nceas.ucsb.edu/nonlinear-modeling/projects) presents detailed examples of application of the three tools to a variety of typical ecological estimation problems; each example links both to a detailed project report and to full source code and data.
Additional publication details
|Publication Subtype||Journal Article|
|Title||Strategies for fitting nonlinear ecological models in R, AD Model Builder, and BUGS|
|Series title||Methods in Ecology and Evolution|
|Contributing office(s)||Patuxent Wildlife Research Center|
|Larger Work Type||Article|
|Larger Work Subtype||Journal Article|
|Larger Work Title||Methods in Ecology and Evolution|