Data science for infectious disease data analytics : an introduction with R /: an introduction with R. (2022)

• Record Type: Book
• Further Information: Note: Lily Wang.
• Authors: (Professor of Statistics), Wang, Lily
• Contents: Chapter 1 Introduction Chapter 2 Data Wrangling Chapter 3 Data Visualization with R Package “ggplot2” Chapter 4 Interactive Visualization Chapter 5 R Shiny Chapter 6 Interactive Geospatial Visualization Chapter 7 Epidemic Modeling Chapter 8 Compartment Models Chapter 9 Time Series Analysis of Infectious Disease Data Chapter 10 Regression Methods Chapter 11 Neural Networks Chapter 12 Hybrid Models Appendix A Appendix B Appendix C
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2022
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 614.4; Epidemiology -- Statistical methods; Epidemiology -- Data processing; R (Computer program language)
• Languages: English
• ISBNs: 9781000643084; 9781000643060; 9781003256328
• Related ISBNs: 9781032187426
• Notes: Note: Includes bibliographical references and index.; 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.