Title: Data for Comparing Species Distribution Modeling Methods
Suggests: knitr, rmarkdown, sf, terra, raster, rgdal, mapview
person("Robert J.", "Hijmans", role = "aut",
email = "r.hijmans@gmail.com", comment = c(ORCID = "0000-0001-5872-2872")),
person("Roozbeh", "Valavi", role = c("cre", "aut"), email = "valavi.r@gmail.com"),
person("Jane", "Elith",  role = "aut", email = "j.elith@gmail.com"))
Description: Easy access to species distribution data for 6 regions in the world, for a total of 226 anonymised species. These data are described and made available by Elith et al (2020) <doi:10.17161/bi.v15i2.13384> to compare species distribution modelling methods.
Author: Robert J. Hijmans [aut] (<https://orcid.org/0000-0001-5872-2872>),

Title: Calculat SMR's from population and case data
Description: works with regular data set file and shape file.
Packaged: Fri Apr 17 10:10:57 2009; LuZhou

Title: Calculate SMR's from population and case data

Title: Calculate observed and expected disease incidence counts from a
Enhances: diseasemappingDevel, glmmBUGS, sp, spdep

Enhances: diseasemappingDevel, glmmBUGS, spdep, INLA
Description: Some tools for calculating rates and Standardized
Incidence Ratios from case and population data.

Description: Tools for calculating rates and Standardized Incidence

Description: Tools for calculating rates and Standardized Incidence Ratios from case and population data.

Suggests: mgcv, spdep, geostatsp, mapmisc (>= 1.0)
Description: Tools for calculating rates and Standardized Incidence Ratios from case and population data.  The BYM model is fit using INLA, obtainable from http://www.r-inla.org.

Title: Modelling Spatial Variation in Disease Risk for Areal Data
Description: Formating of population and case data, calculation of Standardized Incidence Ratios, and fitting the BYM model using INLA.

Description: Formatting of population and case data, calculation of Standardized Incidence Ratios, and fitting the BYM model using INLA.

Suggests: mgcv, spdep, geostatsp, XML, mapmisc (>= 1.0), knitr