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R package



POMPOM (Person-Oriented Modeling and Perturbation on the Model) is named after my dog pompom, and I made up this acronym for her.


The two POM's are two methods, which are structural vector autoregression and impulse response analysis. The hybrid method will allow researchers to conduct in-silico experiments and observe how a dynamical system responds to external perturbations.


When applied on psychological systems, POMPOM can provide network-level metrics, which map nicely on psychological concepts, such as emotion regulation efficiency.


We have two papers (Yang et al., 2018; 2019) published to provide empirical evidence the network metrics, produced by POMPOM, are linked with mental health outcomes (e.g., depression, anxiety). I am excited for this hybrid method to be applied to more dynamical system models as it provides a realistic and intuitive view of how the system reacts to external perturbation in a coordinated way. 

I would like to know if you tried it out and what surprised you in your findings! 

The afterbath of pompom.jpg
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