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Fitting Zero Inflated Models

 

What inspired this wish list request? JMP does not seem to have a built-in support for zero-inflated models? 

 

What is the improvement you would like to see? Possibility to fit zero-inflated model in JMP

 

Why is this idea important? It occurs quite often that the response is zero-inflated. Zero-inflated models are used when the response variable has a large number of zero values and a continuous, non-negative distribution for the non-zero values. Zero-inflated models combine two separate models: one for predicting the probability of a zero outcome, and another for predicting the non-zero values.

 

 

2 Comments
Victor_G
Super User

Hi @Aziza,

 

There are already some zero-inflated modeling possibilities in the platform "Fit Model" :

When you choose "Generalized Regression", at the end of the options for the Distribution, you can find some zero-inflated distributions type : binomial, beta binomial, Poisson, Gamma, ...

 

Victor_G_0-1687763445846.png

You can find more infos about the available distributions in this platform here : Specify a Distribution (jmp.com)

Maybe the distributions proposed won't be of any help to you, but just wanted to inform you in case it could help you

 

Best,

 

SamGardner
Level VII

@Aziza also, to clarify, the ZI models that @Victor_G describes in Generalized Regression and are available in JMP Pro.