Categorical data analysis and multilevel modeling using R. (2022)

• Record Type: Book
• Further Information: Note: Xing Liu.
• Authors: (Education professor), Liu, Xing
• Contents: Chapter 1. R Basics; Chapter 2. Review of Basic Statistics; Chapter 3. Logistic Regression for Binary Data; Chapter 4. Proportional Odds Models for Ordinal Response Variables; Chapter 5. Partial Proportional Odds Models and Generalized Ordinal Logistic Regression Models; Chapter 6. Other Ordinal Logistic Regression Models; Chapter 7. Multinomial Logistic Regression Models; Chapter 8. Poisson Regression Models; Chapter 9. Negative Binomial Regression Models and Zero-Inflated Models; Chapter 10. Multilevel Modeling for Continuous Response Variables; Chapter 11. Multilevel Modeling for Binary Response Variables; Chapter 12. Multilevel Modeling for Ordinal Response Variables; Chapter 13. Multilevel Modeling for Count Response Variables; Chapter 14. Multilevel Modeling for Nominal Response Variables; Chapter 15. Bayesian Generalized Linear Models; Chapter 16. Bayesian Multilevel Modeling of Categorical Response Variables
• Edition: 1st
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2022
• Extent: 1 online resource
• Subjects: 519.536; Regression analysis -- Data processing; R (Computer program language)
• Languages: English
• ISBNs: 9781544324883
• Related ISBNs: 9781544324906
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.