This website uses Cookies. Click Accept to agree to our website's cookie use as described in our Privacy Policy. Click Preferences to customize your cookie settings.
Accept
Reject
Preferences
cancel
Turn on suggestions
Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.
Showing results for 
Show  only  | Search instead for 
Did you mean: 
Submit your abstract to the call for content for Discovery Summit Americas by April 23. Selected abstracts will be presented at Discovery Summit, Oct. 21- 24.
Discovery is online this week, April 16 and 18. Join us for these exciting interactive sessions.
Choose Language Hide Translation Bar
shoffmeister
shoffmeister
Level V

Mixed Models with JMP: Can I see the Covariance Matrix

Mar 17, 2016 05:06 AM (2804 views)

Dear JMPers! Hope you all enjoy Amsterdam. Too sad I could not come to ask you personally.

When working with mixed models in JMP: Is there any chance to see the blocks of the estimated covariance matrix. I'm interested in what I get in SAS when using the G, R and especially V options in PROC MIXED. I like to have a look at that to make sure that I set up the model correctly and that the covariance structure makes sense. I'm well aware that I should be able to figure that out myself based on the covariance parameter estimates ... just I don't trust myself completely. Mixed models always feel so complicated :-/

Thanks for any help on that.

0 Kudos
1 REPLY 1
jiancao
Staff jiancao
Staff

Re: Mixed Models with JMP: Can I see the Covariance Matrix

Mar 18, 2016 12:12 PM (2647 views)  |  Posted in reply to message from shoffmeister 03-17-2016

Yes, you can. Here is my JMP blog post showing fitting three different covariance structures with JMP Pro's Mixed Model personality: Unstructured, AR(1) and CS. JMP Pro for linear mixed models — Part 2

0 Kudos