Using R for bayesian spatial and spatio-temporal health modeling / Andrew B. Lawson
Material type:
TextSeries: The R SeriesPublication details: Boca Raton CRC Press 2021Description: 283pISBN: - 9780367760670
- 610.21 LaW-A
| Item type | Current library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode | Item holds | |
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BITS Pilani Hyderabad | 610 | General Stack (For lending) | 610.21 LaW-A (Browse shelf(Opens below)) | GBP 45.90 | Available | 49612 |
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| 610.1 SAI-T Home remedies / | 610.1 SAI-T Home remedies / | 610.1 SAI-T Home remedies / | 610.21 LaW-A Using R for bayesian spatial and spatio-temporal health modeling / | 610.28 ALO-M Nanostructured biomaterilas for overcoming biological barriers / | 610.28 BAS-B Biomaterials science and tissue engineering : | 610.28 BER-J Biomedical informatics / |
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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