Can JMP 13 do Posthoc mean comparisons for GLMs?

[#1]

How can I assess whether one mean (from a treatment group) is significantly different from another when running a GLM in JMP 13? I know how to do that in the other model platforms (REML, SLSs), but I can't seem to find that option when performing GLMs. For example, I have a GLM model where the response variable is a logit-transformed proportion value (Y) and all effects are categorical (treatment groups) that include main and interactive effects.

Y ~ A, B, C, A*B, A*C, B*C

How can I figure out if the mean from one group (say, between A’s in treatment C)? Can I use the profiler to see if, when I change the values, the mean lies outside of the error bars?  Thank you!

[#2]

under the red triangle, try Contrasts.

After clicking contrast: Go down to the bottom of the report and make selections for a variable and the levels.