Skip to Main Content
UCLA Logo Institute for Digital Research and Education

Zero-inflated and Hurdle models for Count Data in R

Zoom

This workshop introduces zero-inflated poisson, zero-inflated negative binomial, and hurdle models for count data, which are two-part models used when more zeros are found in the data than expected with typical count distributions. We will discuss the formulations of the two parts of each model, the interpretation of model parameters, and how to run these...

Zero-inflated and Hurdle models for Count Data in R

Zoom

This workshop introduces zero-inflated poisson, zero-inflated negative binomial, and hurdle models for count data, which are two-part models used when more zeros are found in the data than expected with typical count distributions. We will discuss the formulations of the two parts of each model, the interpretation of model parameters, and how to run these...

Zero-inflated and Hurdle models for Count Data in R

Zoom

This workshop introduces zero-inflated poisson, zero-inflated negative binomial, and hurdle models for count data, which are two-part models used when more zeros are found in the data than expected with typical count distributions. We will discuss the formulations of the two parts of each model, the interpretation of model parameters, and how to run these...

Events List Navigation