title: Residual analysis in random regressions using SAS and S-PLUS.
abstract: A program package RRAP: Random Regression Residual Analysis Program using SAS [1] and S-PLUS [2] is available for performing random regression residual analysis. The PROCEDURE MIXED from SAS is used for statistical inference. Both elementary-level and individual-level residuals are used. The S-PLUS programs provide: (1) a transformation to orthogonalize the elementary-level correlated residuals for standard regression residual analyses; and (2) several statistics and plots for checking model assumptions, assessing model fitting and detecting outlying individuals. RRRAP starts with a SAS Macro RRRAPMAC on the data followed by a S-PLUS Program DoRRRAP on a UNIX system.
authors: Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, PA 15261, USA.
authors: S
authors: S
authors: Mazumdar
authors: A E
authors: AE
authors: Begley
authors: P R
authors: PR
authors: Houck
authors: Y
authors: Y
authors: Yang
authors: C F
authors: CF
authors: Reynolds
authors: D J
authors: DJ
authors: Kupfer
mesh_terms: D015233:Models, Statistical; D012044:Regression Analysis; D012984:Software