🌍 Implement climate prediction models to transform global data into localized forecasts for effective water resource management and impact assessment.

Sub-package of spatstat containing code for linear networks

simstudy: Illuminating research methods through data generation

coevolve R package for Bayesian generalized dynamic phylogenetic models using Stan

Umbrella package of the 'spatstat' family................

An R package providing a GUI ('shiny' app) for the R package 'brms'.

📊 Computation and processing of models' parameters

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan

Numerical Computational Research (2009–2014): Developed and validated a comprehensive suite of prediction and statistical downscaling methods for short- and long-term projections of climate, water resources, and their associated impacts.

End-to-end R projects applying statistical modeling, time series forecasting, clustering, and sentiment analysis. Showcases EDA, hypothesis testing, and advanced visualization in R.

R package to accompany the textbook "A Student's Guide to Statistics Using R" by Andrews, Justice (2026)

Creating and validating forecasts of microbial abundances at NEON sites.

AI Forecasting tool for Time-Series and Non-time series data

Time series analysis of Uzbekistan's monthly inflation (2010–2024) using R. Includes detrending, stationarity testing, ACF/PACF analysis, SARIMA modeling, and 1-step ahead forecasting. Dataset sourced from the National Statistics Committee of Uzbekistan.

Miscellaneous Esoteric Statistical Scripts - an R package

Personal R package

This Repository contains materials to learn mixed models, dissect it to extract BLUEs and BLUPs

Logistic Regression for prediction of beta carotene concentration

R package providing models to serve as building blocks for predicting eczema severity

An R user interface to STooDs