Using R for Bayesian Spatial and Spatio-Temporal Health Modeling (Chapman & Hall/CRC The R Series)
ISBN-13:
9780367490126
ISBN-10:
0367490129
Edition:
1
Author:
Andrew B. Lawson
Publication date:
2021
Publisher:
Routledge
Format:
Hardcover
284 pages
Category:
Programming Languages
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Book details
ISBN-13:
9780367490126
ISBN-10:
0367490129
Edition:
1
Author:
Andrew B. Lawson
Publication date:
2021
Publisher:
Routledge
Format:
Hardcover
284 pages
Category:
Programming Languages
Summary
Using R for Bayesian Spatial and Spatio-Temporal Health Modeling (Chapman & Hall/CRC The R Series) (ISBN-13: 9780367490126 and ISBN-10: 0367490129), written by authors
Andrew B. Lawson, was published by Routledge in 2021.
With an overall rating of 3.5 stars, it's a notable title among other
Programming Languages
books. You can easily purchase or rent Using R for Bayesian Spatial and Spatio-Temporal Health Modeling (Chapman & Hall/CRC The R Series) (Hardcover) from BooksRun,
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Description
"The book fills a void in the literature and available software, providing a crucial link for students and professionals alike to engage in the analysis of spatial and spatio-temporal health data from a Bayesian perspective using R. The book emphasizes the use of MCMC via Nimble, BRugs, and CARBAyes, but also includes INLA for comparative purposes. In addition, a wide range of packages useful in the analysis of geo-referenced spatial data are employed and code is provided. It will likely become a key reference for researchers and students from biostatistics, epidemiology, public health, and environmental science"--
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