A guided walkthrough of modeling count data with excess zeros. This project compares Poisson, Negative Binomial, Zero‑Inflated (ZIP/ZINB), Hurdle, and Bayesian (JAGS) models on simulated cargo shipment data and the real bioChemists dataset. Model selection is driven by AIC and DIC, demonstrating when structural zero processes are justified – and when simpler models win. Includes practical notes on NaN AIC/DIC issues and numerical stability.

DS

RE

Analyzing the forecast for the store [storename].

intro to plotting and summaries

Introduction to R; Class session 11 August 2025 Homework # 10 -Features in Quarto that will be useful -The integration of code and narrative within a single document -Changing a document from one format to another

Exploratory Data Analysis of College Basketball Dataset