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The HPMIXED Procedure

Overview
Basic Features Assumptions and Notation Computational Approach The HPMIXED Procedure Contrasted with the MIXED Procedure
Getting Started
Mixed Model with Large Number of Fixed and Random Effects
Syntax
PROC HPMIXED Statement BY Statement CLASS Statement CONTRAST Statement EFFECT Statement ESTIMATE Statement ID Statement LSMEANS Statement MODEL Statement NLOPTIONS Statement OUTPUT Statement PARMS Statement RANDOM Statement REPEATED Statement TEST Statement WEIGHT Statement
Details
Model Assumptions Computing and Maximizing the Likelihood Computing Starting Values by EM-REML Sparse Matrix Techniques Hypothesis Tests for Fixed Effects Default Output ODS Table Names
Examples
Ranking Many Random-Effect Coefficients Comparing Results from PROC HPMIXED and PROC MIXED Using PROC GLIMMIX for Further Analysis of PROC HPMIXED Fit Mixed Model Analysis of Microarray Data Repeated Measures
References

Examples: HPMIXED Procedure

Subsections:

49.1 Ranking Many Random-Effect Coefficients
49.2 Comparing Results from PROC HPMIXED and PROC MIXED
49.3 Using PROC GLIMMIX for Further Analysis of PROC HPMIXED Fit
49.4 Mixed Model Analysis of Microarray Data
49.5 Repeated Measures

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