AICc log likelihood - where is it reported?

[#1]

Anyone know if/where the the -2LogLikelihood AIC values are reported when conducting model selection in JMP 14? 

The "Likelihood, AICc, and BIC" page describes what I want to do:

• You can use the value of negative log-likelihood to choose between models and to conduct custom hypothesis tests that compare models fit using different platforms in JMP. This is done through the use of likelihood ratio tests. One reason that -2LogLikelihood is reported in many JMP platforms is that the distribution of the difference between the full and reduced model -2LogLikelihood values is asymptotically Chi-square. The degrees of freedom associated with this likelihood ratio test are equal to the difference between the numbers of parameters in the two models (Wilks 1938)."

I've attached a screenshot of the parameters and statistics I see in the model selection window.

Thanks!

 

[#2]

Click on the "Run Model" button, then in the Fit Group Window, click on the red triangle and select

     Regression Reports==>AICc

[#3]

Thank you for your response.

On my end, the regression report > AICc only provides the AICc value, which
was also provided in the model selection window. I'm looking for the log
likelihood itself, one component that goes into the determination of the
AICc value.

For example, this discussion post

mentions
"JMP invariably reports positive LLs and negative AICs, for example "-2LL =
-1406.88" or "AICc = -1451.534". I'm wondering where they found the "-2LL"
(-2log likelihood) number.

[#4 · Accepted solution]

UPDATE: I've figured it out; I needed to click "Make Model" and change the personality type. 

[#5 · Accepted solution]

You are right - JMP does not report the -2L for the fitted model. It only provides the AICc and the BIC, which are used for model selection.

You can compute -2L = N * Log( 2 * Pi * SSE / N ) where N is the sample size, Pi is irrational constant, and SSE is the model-dependent estimate of the sum of squares error.