Open AccessPOWERLIB:SAS/IMLSoftware for Computing Power in Multivariate Linear Models
Author(s) -
Jacqueline L. Johnson,
Keith E. Muller,
James C. Slaughter,
Matthew J. Gurka,
Matthew Gribbin,
Sean L. Simpson
Publication year - 2009
Publication title -
journal of statistical software
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.636
H-Index - 145
ISSN - 1548-7660
DOI - 10.18637/jss.v030.i05
Subject(s) - multivariate statistics , computer science , software , multivariate analysis , range (aeronautics) , operating system , machine learning , engineering , aerospace engineering
The POWERLIB SAS/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.