proc glimmix choose different estimation methods

[ANKH1]

In proc glimmix, what syntax is used to change the optimization algorithm to other than Newton Raphson?

proc glimmix data=mydata;
   class myclass;
   model response = mycovariates / dist=binomial link=logit solution;
   random intercept / subject=myid;
 run;

[sbxkoenk]

SAS® 9.4 and SAS® Viya® 3.5 Programming Documentation
SAS/STAT 15.3 User's Guide
The GLIMMIX Procedure
NLOPTIONS Statement
https://go.documentation.sas.com/doc/en/pgmsascdc/9.4_3.5/statug/statug_glimmix_syntax18.htm

SAS/STAT 15.3 User's Guide
Shared Concepts and Topics
NLOPTIONS Statement
https://go.documentation.sas.com/doc/en/pgmsascdc/9.4_3.5/statug/statug_introcom_sect052.htm

Koen

[ANKH1]

proc glimmix data=mydata method=laplace;
   class myclass;
   model response = mycovariates / dist=binomial link=logit solution;
   random intercept / subject=myid;
 run;

Hi! I found out that you can choose the method (example laplace) by adding the statement above.

[sbxkoenk]

---

@ANKH1 wrote:

proc glimmix data=mydata method=laplace;
run;

Hi! I found out that you can choose the method (example laplace) by adding the statement above.

---

There's an "inter-play" between several statements and options.

• Several estimation methods of the GLIMMIX procedure (METHOD=RSPL, MSPL, RMPL, MMPL) are doubly iterative. 
• The NLOPTIONS statement controls the inner iterations. The outer iteration behavior can be controlled with options in the PROC GLIMMIX statement, such as the MAXLMMUPDATE=, PCONV=, and ABSPCONV= options. If the estimation method involves a singly iterative approach, then there is no need for the outer cycling and the model is fit in a single optimization controlled by the NLOPTIONS statement (see the section Singly or Doubly Iterative Fitting).
• Note that in a GLMM with pseudo-likelihood estimation, specifying TECHNIQUE=NONE has the same effect as specifying the NOITER option in the PARMS statement. If you estimate the parameters by METHOD=LAPLACE or METHOD=QUAD, TECHNIQUE=NONE applies to the optimization after starting values have been determined.

SAS Help Center

https://go.documentation.sas.com/doc/en/pgmsascdc/9.4_3.5/statug/statug_glimmix_syntax18.htm

Br, Koen