Negative Binomial & Zero-Inflated Models in R using Microbiome Data | Nutribiomes

6840-11-04-3: 5.5 Zero-Inflated Count Models - Theory

Zero-Inflated Negative Binomial Regression

Topic 20.2: Zero-inflated models

SPSS extension for zero-inflated count (i.e., Poisson and negative binomial) regression models

Frequentist and Bayesian approach for the Zero-inflated Negative Binomial Regression Model

Statistical Methods Series: Zero-Inflated GLM and GLMM

Regression with Count Data: Poisson and Negative Binomial

Zero Inflated Models in R with Flexplot

Learn Count Regression Models with R: Poisson, negative binomial, zero inflated and hurdle model

Count Data Models in SAS

count model in R- software i.e. Poisson, negative binomial, zero-inflated and hurdle model.

Count Data Models

PSY504-S24-Poisson, Neg Binom, Zero-inflated Models

STATS 205 - Hierarchical Linear Models - Lec 13 (extra-Poisson; negative binomial reg; excess zeros)

Quasi-Poisson and negative binomial regression models

Zero inflated Poisson and negative binomial regression using SPSS extension (June 2023)

New in Stata 15: Zero-inflated ordered probit models

6840-11-04-4: 5.5 Zero-Inflated Count Models - An example

Zero-Inflated Count Regression