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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(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
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