Zero-Inflated and Hurdle Models in R | Excess Zeros & Count Regression

Learn how to analyze count data containing excess zeros using zero-inflated and hurdle models in R. In this video, you will learn how to: • Examine the distribution of count data • Identify excess zeros and overdispersion • Fit zero-inflated Poisson and negative binomial models • Fit Poisson and negative binomial hurdle models • Interpret the zero and count components • Interpret odds ratios and incidence rate ratios • Compare models using AIC and diagnostic tests • Calculate predicted counts and probabilities #RProgramming #RStudio #ZeroInflatedModel #HurdleModel #CountData