Parameters | Predictive Modeling | PROC HPMIXED Additional Statements

PROC HPMIXED Additional Statements
Enter additional SAS PROC HPMIXED options in this field to override default parameters.
Additional statements that you might want to specify include:
PARMS for specifying initial values of the covariance parameters or performing a grid search of over several values of these parameters.
Refer to the SAS PROC HPMIXED documentation for appropriate syntax.
To specify one or more additional PROC HPMIXED statements, use the following syntax:
Option
where:
Option is the PROC HPMIXED option, and
a space is used to delimit individual conditions.
Examples of commonly used PROC HPMIXED options are listed in the following table.
Most models fit with the GLIMMIX procedure typically have one or more nonlinear parameters. Estimation requires nonlinear optimization methods. You can control the optimization through options using the NLOPTIONS statement.
Invalid Statements
By default, CLASS , MODEL , RANDOM , and OUTPUT statements are automatically generated to fit the Genomic BLUP model, so do not specify any of these statements. Also, do not specify a BY statement, since the SAS code is currently not set up to handle BY groups .
To Specify One or More Additional PROC GLIMMIX Options:
*
Type specific PROC HPMIXED options in the PROC HPMIXED Additional Statements field.
For example, to restrict the analysis to males only, type WHERE SEX=’M’ in the text field, as shown below:
For Additional Information
Refer to the SAS PROC HPMIXED documentation for more information.