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:

•	WHERE for subsetting rows of the input data set,

•	NLOPTIONS for convergence options, and

•	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.

Option	Definition
WHERE	Used for subsetting rows in the input data set. Refer to the SAS WHERE Statement documentation for additional details about WHERE statements.
NLOPTIONS	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. See the NLOPTIONS Statement documentation of more information
PARMS	The PARMS statement specifies initial values for the covariance or scale parameters, or it requests a grid search over several values of these parameters in generalized linear mixed model. See the PARMS Statement documentation for more information.

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.