About dynr

  Dinner or diner again?

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.

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Chefs

Our Master Chefs

Sy-Miin Chow

The Pennsylvania State University quc16@psu.edu

Michael D. Hunter

Georgia Institute of Technology michael-hunter@gatech.edu

Lu Ou

ACTNext Lu.Ou@act.org

Meng Chen

University of California, Davis mengc2013@gmail.com

Linying Ji

The Pennsylvania State University lzj114@psu.edu

Hui-Ju Hung

The Pennsylvania State University hzh131@psu.edu

Dongjun You

xxx dongjuny2@gmail.com

Jungmin Lee

The Pennsylvania State University jzl95@psu.edu

Yanling Li

The Pennsylvania State University yxl823@psu.edu

Jonathan Park

The Pennsylvania State University jjp409@psu.edu

Young Won Cho

The Pennsylvania State University yfc5309@psu.edu
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