论文信息 - Mixed-Effects Methods and Classes for S and S-PLUS

Mixed-Effects Methods and Classes for S and S-PLUS

Mixed-effects models are frequently used to analyze grouped data, because they flexibly model the within-group correlation often present in this type of data. Examples of grouped data include longitudinal data, repeated measures data, multilevel data, and split-plot designs. We describe a set of S functions, classes, and methods for the analysis of linear and nonlinear mixed-effects models. These extend the model-ing facilities available in release 3 of S and releases 3.4 and 4 of S-PLUS. Help files for all functions and methods described here are included in the PostScript file HelpFunc.ps, which is included with the nlme distribution .

Douglas M. Bates | José C. Pinheiro

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