POWERLIB: SAS/IML Software for Computing Power in Multivariate Linear Models.
ThePOWERLIBSAS/IML software provides convenient power calculations for a wide range of multivariate linear models with Gaussian errors. The software includes the Box, Geisser-Greenhouse, Huynh-Feldt, and uncorrected tests in the "univariate" approach to repeated measures (UNIREP), the Hotelling Lawley Trace, Pillai-Bartlett Trace, and Wilks Lambda tests in "multivariate" approach (MULTIREP), as well as a limited but useful range of mixed models. The familiar univariate linear model with Gaussian errors is an important special case. For estimated covariance, the software provides confidence limits for the resulting estimated power. All power and confidence limits values can be output to a SAS dataset, which can be used to easily produce plots and tables for manuscripts.
University of North Carolina at Chapel Hill.
Jacqueline L
JL
Johnson
University of Florida.
Keith E
KE
Muller
University of North Carolina at Chapel Hill.
James C
JC
Slaughter
University of Virginia.
Matthew J
MJ
Gurka
University of North Carolina at Chapel Hill.
Matthew J
MJ
Gribbin
University of North Carolina at Chapel Hill.
Sean L
SL
Simpson
Gaussian errors; mixed models; multivariate linear models; power