rmarkdown, markdown, knitr, testthat (>= 3.0.0), ggplot2,
dplyr

MASS, maps, maptools, shapefiles, spdep, gtools, rgeos,
lattice, Matrix, nlme
Cici Chen <cicichen@u.washington.edu>, Albert Y. Kim <albert@stat.washington.edu>, Michelle Ross <micher3@u.washington.edu>, Jon Wakefield <jonno@u.washington.edu>, E. S. Venkatraman <venkat@biosta.mskcc.org>

A Shiny Web Application for the Analysis of Spatial and
Spatio-Temporal Disease Data
person("Paula", "Moraga", email = "p.e.moraga-serrano@lancaster.ac.uk", role = c("aut", "cre"))
Runs a Shiny web application that allows to visualize spatial and spatio-temporal disease data, estimate disease risk and detect clusters. The application allows to fit Bayesian disease models to obtain risk estimates and their uncertainty by using the 'R-INLA' package, <http://www.r-inla.org>, and to detect clusters by using the scan statistics implemented in 'SaTScan', <https://www.satscan.org>. The application allows user interaction and creates interactive visualizations such as maps supporting padding and zooming and tables that allow for filtering. It also enables the generation of reports containing the analyses performed.
dplyr, dygraphs, ggplot2, htmlwidgets, knitr, leaflet,
mapproj, maptools, RColorBrewer, rgeos, rmarkdown, shiny,
shinyjs, SpatialEpi, spdep, xts

dplyr, dygraphs, ggplot2, htmlwidgets, knitr, leaflet,
mapproj, maptools, RColorBrewer, rgdal, rgeos, rmarkdown,
shiny, shinyjs, SpatialEpi, spdep, xts

This package proposes several approaches for spatial extremes modelling.

This package proposes several approaches for spatial
extremes modelling.

Mathieu Ribatet, Richard Singleton, R Core team

c(person("Mathieu", "Ribatet", role = c("aut", "cre"),
email = "mathieu.ribatet@univ-montp2.fr"),
person("Richard", "Singleton", role = "ctb"),
person("R Core team", role = "ctb"))
Tools for the statistical modelling of spatial extremes using max-stable processes, copula or Bayesian hierarchical models.
Mathieu Ribatet [aut, cre],
Richard Singleton [ctb],
R Core team [ctb]