Computing a Joint Multivariate Model

alexis_lewis24 — Thu, 09 Mar 2023 20:03:45 GMT

Is there a way that I can run a joint multivariate model that allows all intercepts and slopes to covary but does not allow level-1 residuals to covary across variables.

I am using SAS OnDemand for Academics and the following code will not run.

proc mixed data=homework3 method=ML noclprint;
class school dv;
model popst= conss const sexs sext/ noint s;
random conss sexs sext const/ sub=school type=un;
repeated dv / subject=school*pupil type= UN(1);
run;

Re: Computing a Joint Multivariate Model

SteveDenham — Thu, 09 Mar 2023 20:29:44 GMT

When you say "will not run" that isn't very useful without seeing the log for that procedure. Please post the entire log starting with the call to PROC GLIMMIX down to the next run; statement.

I suspect that the issue has to do with declaring variables both fixed and random, but it could be anything.

SteveDenham

topic Computing a Joint Multivariate Model in Statistical Procedures

Computing a Joint Multivariate Model

Re: Computing a Joint Multivariate Model