POWERLIB：用于计算多元线性模型功效的SAS/IML软件。
POWERLIB: SAS/IML Software for Computing Power in Multivariate Linear Models.
作者信息
Johnson Jacqueline L, Muller Keith E, Slaughter James C, Gurka Matthew J, Gribbin Matthew J, Simpson Sean L
机构信息
University of North Carolina at Chapel Hill.
University of Florida.
出版信息
J Stat Softw. 2009 Apr 1;30(5). doi: 10.18637/jss.v030.i05.
The 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.
SAS/IML软件为广泛的具有高斯误差的多元线性模型提供了便捷的功效计算。该软件在重复测量的“单变量”方法（UNIREP）中包括Box检验、Geisser-Greenhouse检验、Huynh-Feldt检验和未校正检验，在“多变量”方法（MULTIREP）中包括Hotelling Lawley迹检验、Pillai-Bartlett迹检验和Wilks Lambda检验，以及一系列有限但有用的混合模型。具有高斯误差的常见单变量线性模型是一个重要的特殊情况。对于估计的协方差，该软件为所得的估计功效提供置信限。所有功效和置信限值都可以输出到一个SAS数据集，该数据集可用于轻松地为稿件生成图表和表格。
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