· R package: psbcGroup: Penalized Parametric and Semiparametric Bayesian Survival Models with Shrinkage and Grouping Priors. https://cran.r-project.org/web/packages/psbcGroup/index.html
· A cloud based R Shiny App for study of Gun Violence in USA. https://sounakchakraborty.shinyapps.io/GunHomicide/. This App is co-developed by graduate student Mr. Ranadeep Daw under my supervision.
· Statistical Software for machine learning models for ultra-sensitive detection of lipoarabinomannan with plasmonic grating biosensors in clinical samples of tuberculosis. This Python function is co-developed with my PhD student Yilun Huang.
· An easy to use R function for heterogeneity aware privacy preserving Federated Learning. This function is co-developed with my PhD student Yilun Huang.
· A R function implementing Bayesian Adaptive Nearest Neighbor for Classification.
· A R function for Bayesian Additive Regression Kernel for survival outcome data
· A R function for Bayesian Testing of Genetic Pathway effects Using Kernel Machine Models
· A R function for Scalable Bayesian Graph Laplacian Model For Variable Selection
· A R function for Kernel based modeling of Pathway and Gene Selection with Multiple Pathways
· Interactive Visualization and Predictive Modeling of Wildfire Dynamics: A Web Based Tool for Insights about Wildfire in US. This App is co-developed by my undergraduate student Ms. Penelope Overholt under my supervision.
Disclaimer: My codes are not for any commercial use. All codes are posted only after the approval of my collaborators. The not working links or upcoming are those, for which I dont have approval of my co-authors, results not published yet, or I am in the process of cleaning and optimizing it to make it usable by everybody. I am going to freely disseminate them in future. So, stay tuned !!!