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Multilevel Modeling in R (2.6)

Multilevel Modeling in R ( ) A Brief Introduction to R, the Multilevel package and the nlme package Paul Bliese August 3, 2016 Multilevel Models in R 2 Copyright 2016, Paul Bliese. Permission is granted to make and distribute verbatim copies of this document provided the copyright notice and this permission notice are preserved on all copies. For other permissions, please contact Paul Bliese at Chapters 1 and 2 of this document of this document borrow heavily from An Introduction to R (see the copyright notice below) An Introduction to R Notes on R: A Programming Environment for Data Analysis and Graphics Version (2000 August 15) R Development Core Team. Copyright c 1990, 1992 W. Venables Copyright c 1997, R.

Finally, the text makes considerable use of the non-linear and linear mixed-effects (nlme) model package, (Pinheiro & Bates, 2000). The nlme package provides functions to estimate a variety of mixed-effects models for both data nested in groups and for repeated measures data collected over time (growth models).

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  Linear, Mixed, Effect, Mixed linear

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