Categorical Data Analysis and Multilevel Modeling Using R is popular PDF and ePub book, written by Xing Liu in 2022-02-25, it is a fantastic choice for those who relish reading online the Social Science genre. Let's immerse ourselves in this engaging Social Science book by exploring the summary and details provided below. Remember, Categorical Data Analysis and Multilevel Modeling Using R can be Read Online from any device for your convenience.
Categorical Data Analysis and Multilevel Modeling Using R Book PDF Summary
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.
Detail Book of Categorical Data Analysis and Multilevel Modeling Using R PDF
- Author : Xing Liu
- Release : 25 February 2022
- Publisher : SAGE Publications
- ISBN : 9781544324883
- Genre : Social Science
- Total Page : 624 pages
- Language : English
- PDF File Size : 15,9 Mb
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