The HPLMIXED Procedure

Syntax: HPLMIXED Procedure

The following statements are available in PROC HPLMIXED.

PROC HPLMIXED <options>;
CLASS variables;
ID variables;
MODEL dependent = <fixed-effects> </ options>;
OUTPUT <OUT=SAS-data-set> <keyword <=name>>…<keyword <=name>> </ options>;
RANDOM random-effects </ options>;
REPEATED repeated-effect </ options>;
PARMS <(value-list) …> </ options>;
PERFORMANCE <options>;

Items within angle brackets ( < > ) are optional. The RANDOM statement can appear multiple times. Other statements can appear only once.

The PROC HPLMIXED and MODEL statements are required, and the MODEL statement must appear after the CLASS statement if a CLASS statement is included. The RANDOM statement must follow the MODEL statement.

Table 53.1 summarizes the basic functions and important options of the PROC HPLMIXED statements. The syntax of each statement in Table 53.1 is described in the following sections in alphabetical order after the description of the PROC HPLMIXED statement.

Table 53.1: Summary of PROC HPLMIXED Statements

Statement	Description	Important Options
PROC HPLMIXED	Invokes the procedure	DATA= specifies the input data set; METHOD= specifies the estimation method.
CLASS	Declares qualitative variables that create indicator variables in $\mb{X}$ and $\mb{Z}$ matrices.	None
ID	Lists additional variables to be included in predicted values tables	None
MODEL	Specifies dependent variable and fixed effects, setting up $\mb{X}$	S requests a solution for fixed-effects parameters.
RANDOM	Specifies random effects, setting up $\mb{Z}$ and $\mb{G}$	SUBJECT= creates block-diagonality; TYPE= specifies the covariance structure; S requests a solution for the random effects.
REPEATED	Sets up $\mb{R}$	SUBJECT= creates block-diagonality; TYPE= specifies the covariance structure.
OUTPUT	Creates a data set that contains observationwise statistics	ALLSTATS requests that all statistics be computed.
PARMS	Specifies a grid of initial values for the covariance parameters	HOLD= and NOITER hold the covariance parameters or their ratios constant; PARMSDATA= reads the initial values from a SAS data set.
PERFORMANCE	Invokes the distributed computing connection	NODES= specifies the number of nodes to use.