SAS/STAT Software

VARCOMP Procedure

The VARCOMP procedure handles general linear models that have random effects. Random effects are classification effects with levels that are assumed to be randomly selected from an infinite population of possible levels. PROC VARCOMP estimates the contribution of each of the random effects to the variance of the dependent variable. The following are highlights of the VARCOMP procedure's features:

  • enables you to specify four general methods of estimation:
    • Type I
    • MIVQUE0
    • ML
    • REML
  • provides a specialized analysis for gauge repeatability and reproducibility (GRR) studies for balanced one-way or two-way designs
  • optionally computes confidence limits using modified large-sample methods when either the Type I or GRR methods are used
  • performs BY group processing, which enables you to obtain separate analyses on grouped observations
  • creates a SAS data set that corresponds to any output table

For further details see the VARCOMP Procedure