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Categorical Data Analysis and Multilevel Modeling Using R

About Categorical Data Analysis and Multilevel Modeling Using R

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. It 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.

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  • Language:
  • English
  • ISBN:
  • 9781544324906
  • Binding:
  • Paperback
  • Pages:
  • 744
  • Published:
  • May 9, 2022
  • Dimensions:
  • 231x188x40 mm.
  • Weight:
  • 1296 g.
  In stock
Delivery: 3-5 business days
Expected delivery: December 8, 2024
Extended return policy to January 30, 2025

Description of Categorical Data Analysis and Multilevel Modeling Using R

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. It 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.

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