Dynr stands for Dynamic Modeling in R. It is an R package that allows you to fit linear and nonlinear dynamic models, possibly with sudden shifts, in discrete or continuous time.Find out more
For any fancy meal, it requires you to prepare ingredients on your table. Specifying a model general involves going through these steps. Click here to download our menu.
Menu created with template from Template.netCheck out one example of fitting a stochastic linear oscillator model in dynr.
The Lorenz equations, the system of differential equations that generate this butterfly-shaped attractor is one example of a dynamical systems model that can be fitted in dynr.See more examples of recipes below! Check out related publications! Photo credit goes to Twitter @robert_trirop.
Dynr is pronounced the same as “dinner.” The inspiration came from relating the procedures of fitting dynamic models to things done surrounding dinner, such as gathering ingredients (data), preparing recipes (code for different submodels), cooking (estimation) and serving (presentation of results).
Dynr can handle a broad class of linear and nonlinear discrete- and continuous-time models, with regime-switching properties in C, while maintaining intuitive specification functions in R.