Abstract
As seen in Chapter 1, mixed-effects models provide a flexible and powerful tool for analyzing balanced and unbalanced grouped data. These models have gained popularity over the last decade, in part because of the development of reliable and efficient software for fitting and analyzing them. The linear and nonlinear mixed-effects (nlme) library in S is an example of such software. We describe the lme function from that library in this chapter, as well the methods for displaying and comparing fitted models created by this function.
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References
Bates, D. M. and Chambers, J. M. (1992). “Nonlinear models,” in Chambers and Hastie (1992), Chapter 10, pp. 421–454.
Bryk, A. and Raudenbush, S. (1992). Hierarchical Linear Models for Social and Behavioral Research, Sage, Newbury Park, CA.
Chambers, J. M. and Hastie, T. J. (eds) (1992). Statistical Models in S, Chapman & Hall, New York.
Cleveland, W. S., Grosse, E. and Shyu, W. M. (1992). “Local regression models,” in Chambers and Hastie (1992), Chapter 8, pp. 309–376.
Davidian, M. and Giltinan, D. M. (1995). Nonlinear Models for Repeated Measurement Data, Chapman & Hall, London.
Goldstein, H. (1995). Multilevel Statistical Models, Halstead Press, New York.
Littell, R. C., Milliken, G. A., Stroup, W. W. and Wolfinger, R. D. (1996). SAS System for Mixed Models, SAS Institute Inc., Cary, NC.
Venables, W. N. and Ripley, B. D. (1999). Modern Applied Statistics with S-PLUS, 3rd ed., Springer-Verlag, New York.
Wilkinson, G. N. and Rogers, C. E. (1973). Symbolic description of factorial models for analysis of variance, Applied Statistics 22: 392–399.
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(2000). Fitting Linear Mixed-Effects Models. In: Mixed-Effects Models in Sand S-PLUS. Statistics and Computing. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-0318-1_4
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DOI: https://doi.org/10.1007/978-1-4419-0318-1_4
Publisher Name: Springer, New York, NY
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