Software
I have developed the following R packages and Shiny applications to implement and automate the methodologies proposed in my research. For supplementary code to reproduce results from other papers, please visit my publication page.
RLDDM (R Package)
GitHub repository:
https://github.com/krisyuanbian/RLDDM
An R package providing a computational framework for modeling decision-making processes by integrating reinforcement learning (RL) with the drift-diffusion model (DDM). Extensions incorporating Hidden Markov Models (HMMs) will be available soon.
PowerSNP (Shiny App)
Application link:
https://krisyuanbian.shinyapps.io/PowerSNP/
A Shiny application allowing practitioners to determine sample size and statistical power for assessing overall SNP effects in joint modeling of longitudinal and time-to-event outcomes.
