Linear Mixed Effects Models Using R is popular PDF and ePub book, written by Andrzej Gałecki in 2013-02-05, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Linear Mixed Effects Models Using R can be Read Online from any device for your convenience.
Linear Mixed Effects Models Using R Book PDF Summary
Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics, educational measurement, and sociology. This book aims to support a wide range of uses for the models by applied researchers in those and other fields by providing state-of-the-art descriptions of the implementation of LMMs in R. To help readers to get familiar with the features of the models and the details of carrying them out in R, the book includes a review of the most important theoretical concepts of the models. The presentation connects theory, software and applications. It is built up incrementally, starting with a summary of the concepts underlying simpler classes of linear models like the classical regression model, and carrying them forward to LMMs. A similar step-by-step approach is used to describe the R tools for LMMs. All the classes of linear models presented in the book are illustrated using real-life data. The book also introduces several novel R tools for LMMs, including new class of variance-covariance structure for random-effects, methods for influence diagnostics and for power calculations. They are included into an R package that should assist the readers in applying these and other methods presented in this text.
Detail Book of Linear Mixed Effects Models Using R PDF
- Author : Andrzej Gałecki
- Release : 05 February 2013
- Publisher : Springer Science & Business Media
- ISBN : 9781461439004
- Genre : Mathematics
- Total Page : 558 pages
- Language : English
- PDF File Size : 10,7 Mb
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