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diseasemapping  

Modelling Spatial Variation in Disease Risk for Areal Data
View on CRAN: Click here


Download and install diseasemapping package within the R console
Install from CRAN:
install.packages("diseasemapping")

Install from Github:
library("remotes")
install_github("cran/diseasemapping")

Install by package version:
library("remotes")
install_version("diseasemapping", "2.0.6")



Attach the package and use:
library("diseasemapping")
Maintained by
Patrick Brown
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-04-17
Latest Update: 2024-02-09
Description:
Formatting of population and case data, calculation of Standardized Incidence Ratios, and fitting the BYM model using 'INLA'. For details see Brown (2015) .
How to cite:
Patrick Brown (2009). diseasemapping: Modelling Spatial Variation in Disease Risk for Areal Data. R package version 2.0.6, https://cran.r-project.org/web/packages/diseasemapping. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.2 (2009-04-17 21:06), 0.3 (2009-04-26 16:21), 0.4 (2009-06-07 15:08), 0.5.3 (2009-10-05 20:26), 0.6 (2012-01-17 19:37), 0.7.3 (2013-06-09 17:10), 0.7.5 (2013-07-17 17:16), 0.7.7 (2014-08-14 22:23), 1.0.1 (2014-09-24 06:46), 1.1.0 (2014-10-06 20:38), 1.1.2 (2014-11-13 08:06), 1.1.4 (2015-01-05 20:46), 1.1.5 (2015-01-15 17:04), 1.1.7 (2015-02-26 02:00), 1.2.0 (2015-03-25 07:33), 1.2.3 (2015-07-08 00:32), 1.2.7 (2015-11-09 15:10), 1.4.0 (2016-03-07 23:22), 1.4.2 (2016-09-20 13:52), 1.4.6 (2018-07-12 16:00), 1.4.9 (2020-05-05 15:40), 1.5.0 (2021-03-12 00:30), 1.5.1 (2021-09-10 10:00), 2.0.0 (2023-09-15 18:52), 2.0.1 (2023-09-18 00:50), 2.0.2 (2023-09-19 16:30), 2.0.3 (2023-09-21 23:10), 2.0.5 (2023-12-04 15:30)
Other packages that cited diseasemapping R package
View diseasemapping citation profile
Other R packages that diseasemapping depends, imports, suggests or enhances
Complete documentation for diseasemapping
Functions, R codes and Examples using the diseasemapping R package
Full diseasemapping package functions and examples
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