Suggests: rmarkdown, markdown, knitr, testthat (>= 3.0.0), ggplot2,

Packaged: 2021-11-14 19:57:01 UTC; rudeboybert

Imports: MASS, maps, maptools, shapefiles, spdep, gtools, rgeos,
Author: 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>
Packaged: 2014-05-02 06:47:13 UTC; rudeboybert

Title: A Shiny Web Application for the Analysis of Spatial and
Authors@R: person("Paula", "Moraga", email = "p.e.moraga-serrano@lancaster.ac.uk", role = c("aut", "cre"))
Description: 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.
Imports: dplyr, dygraphs, ggplot2, htmlwidgets, knitr, leaflet,
mapproj, maptools, RColorBrewer, rgeos, rmarkdown, shiny,

mapproj, maptools, RColorBrewer, rgdal, rgeos, rmarkdown,

Description: This package proposes several approaches for spatial extremes modelling.
Packaged: Thu Oct 16 12:02:24 2008; ribatet

Packaged: Fri Dec  5 04:58:18 2008; theussl

Packaged: Mon Feb  9 04:58:55 2009; rforge

Packaged: Mon Feb 23 05:01:50 2009; rforge

Description: This package proposes several approaches for spatial

Author: Mathieu Ribatet, Richard Singleton, R Core team

Authors@R: c(person("Mathieu", "Ribatet", role = c("aut", "cre"),
person("Richard", "Singleton", role = "ctb"),
Description: Tools for the statistical modelling of spatial extremes using max-stable processes, copula or Bayesian hierarchical models.