Main Article Content
- Users face a confusion of choice when trying to select packages in approaching a problem.
- A need to maintain workable examples using early methods may mean some tools offered as a default may be dated.
- In an open-source project like R, how to decide what tools offer "best practice" choices, and how to implement such a policy, present a serious challenge.
We discuss these issues with reference to the tools in R for nonlinear parameter estimation (NLPE) and optimization, though for the present article `optimization` will be limited to function minimization of essentially smooth functions with at most bounds constraints on the parameters. We will abbreviate this class of problems as NLPE. We believe that the concepts proposed are transferable to other classes of problems seen by R users.