Publications

Want to learn more about dynr?

Please check out some of our publications introducing current and new features of dynr, and applications utilizing dynr.

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Current and New Features of dynr

  1. You, D-J., Hunter, M. D., Chen, M., & Chow, S-M. (2020). A diagnostic procedure for detecting model misspecification in linear state–space. Multivariate Behavioral Research, 55(2), 231-255. DOI: 10.1080/00273171.2019.1627659.
  2. Ou, L., Hunter, M. D., & Chow, S-M. (2019). What’s for dynr: A package for linear and nonlinear dynamic modeling in R. The R Journal; DOI: 10.32614/RJ-2019-012.
  3. Li, Y., Ji, L., Oravecz, Z., Brick, Timothy R., Hunter, M. D., & Chow, S-M. (2019). dynr.mi: An R Program for Multiple Imputation in Dynamic Modeling. International Journal of Computer, Electrical, Automation, Control and Information Engineering , 13(5), 302-311. World Academy of Science, Engineering and Technology, International Science Index 149, 2019.

Applications Utilizing dynr

  1. Chen, M., Chow, S-M., Hammal, Z., Cohn, J. & Messinger, D. (in press). A Person- and time-varying vector autoregressive model to capture interactive infant-mother head movement dynamics. Multivariate Behavioral Research. DOI: 10.1080/00273171.2020.1762065
  2. Chow, S-M., You, D-J., & *Clouthier, T. (in press). A regime-switching framework for formulating multi-phase linear and nonlinear growth curves. In (Eds.). MARCES Series: Innovative Psychometric Modeling and Methods. Charlotte, NC: Information Age Publishing, Inc.
  3. Chow, S-M. (2019). Practical Tools and Guidelines for Exploring and Fitting Linear and Nonlinear Dynamical Systems Models. Multivariate Behavioral Research, 54(5), 690-718.
  4. Chen, M., Chow, S-M., & Hunter, M. D. (2018). Stochastic differential equation models with time-varying parameters. In K. van Montford, H. Oud, & M. Voelkle (Eds.). Continuous-Time Modeling in the Behavioral and Related Sciences (pp. 205-238). Cham: Springer International publishing. Doi: 10.1007/978-3-319-77219-6_9
  5. Ji, L., & Chow, S-M. (2018). Methodological Issues and Extensions to the Latent Difference Score Framework. In Ferrer, M., Grimm, K., & Boker, S.M. (Eds.). Longitudinal Multivariate Psychology, Multivariate Applications Series (pp. 9-37). New York, NY: Taylor & Francis. Doi: 10.4324/9781315160542-2.
  6. Chow, S.-M., Ou. L, Ciptadi, A., Prince, E., You, D., Hunter, M. D., Rehg, J. M., Rozga, A., & Messinger, D. S. (2018). Differential equation modeling approaches to representing sudden shifts in intensive dyadic interaction data. Psychometrika, 83(2):476-510. doi: 10.1007/s11336-018-9605-1.