How to switch from REML to ML for Model Comparison

[#1]

Hello!

I am trying to compare two mixed effect models with AIC (or AICc) values. When generating AIC values for model comparison of mixed effect models, I've seen (at least in R) that one must switch from Restricted Maximum Likelihood Estimation (REML) to Maximum Likelihood Estimation (ML). How do I do this in JMP?  I am using JMP 15 Pro provided through my work.

Thank you!

Info for this procedure in R:

https://r.qcbs.ca/workshop07/book-en/step-2.-code-potential-models-and-model-selection.html 

[#2]

Hello! 

I have also attached below some dummy data and screenshots of model formulations following the structure of the two models I am trying to compare below. I'm looking for a place to switch from Restricted Maximum Likelihood Estimation (REML) to Maximum Likelihood Estimation (ML) for AIC comparison

Thank you!

[#3 · Accepted solution]

Hi @DensityOfOkapi2 . I don’t think ML is an option…it certainly isn’t in Standard JMP.

[#4]

Thank you! Yeah I haven't had any luck in my search on JMP 15 Pro for ML

[#5]

I do not see why you need to use ML instead of REML to estimate the model parameters and compute AICc. I used another example from the JMP Sample Data Folder, Wheat.jmp, and set up a similar model:

Click the red triangle at the top and select Regression Reports > AICc:

This criterion is added to the Summary of Fit outline: