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Categorical Data Analysis and Multilevel Modeling Using R (Paperback)
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Categorical Data Analysis and Multilevel Modeling Using R (Paperback)
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Categorical Data Analysis and Multilevel Modeling Using R provides
a practical guide to regression techniques for analyzing binary,
ordinal, nominal, and count response variables using the R
software. Author Xing Liu offers a unified framework for both
single-level and multilevel modeling of categorical and count
response variables with both frequentist and Bayesian approaches.
Each chapter demonstrates how to conduct the analysis using R, how
to interpret the models, and how to present the results for
publication. A companion website for this book contains datasets
and R commands used in the book for students, and solutions for the
end-of-chapter exercises on the instructor site.
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