Package: sparrpowR
Title: Power Analysis to Detect Spatial Relative Clusters
Version: 0.1.1
Authors@R: 
    c(person(given = "Ian D.",
             family = "Buller",
             role = c("aut", "cre", "cph"),
             email = "ian.buller@nih.gov"),
      person(given = "Derek W.",
             family = "Brown",
             role = c("aut", "cph"),
             email = "derek.brown@nih.gov"),
      person(given = "Mitchell J.",
             family = "Machiela",
             role = "ctb",
             email = "mitchell.machiela@nih.gov"),
      person(given = "Timothy A.",
             family = "Myers",
             role = "ctb",
             email = "myersta@mail.nih.gov"),
      person(given = "NCI",
             role = c("cph", "fnd"))
      )
Maintainer: Ian D. Buller <ian.buller@nih.gov>
Description: Calculate the statistical power to detect clusters using kernel-based 
        spatial relative risk functions that are estimated using the 'sparr' package.
        Details about the 'sparr' package methods can be found in the tutorial: Davies
        et al. (2018) <doi:10.1002/sim.7577>.  Details about kernel density estimation 
        can be found in J. F. Bethell (1990) <doi:10.1002/sim.4780090616>.  For more 
        information about relative risk functions using kernel-density estimation can 
        be found in J. F. Bithell (1991) <doi:10.1002/sim.4780101112>.
License: Apache License (>= 2.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Depends: R (>= 3.5.0), spatstat
Imports: doParallel, fields, foreach, raster, sp, sparr
Suggests: broom, geojsonio, ggmap, maptools, osmdata, rgeos, tibble,
        tidyverse, rgdal, testthat, ggplot2, knitr, rmarkdown, spelling
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2020-06-04 18:32:06 UTC; myersta
Author: Ian D. Buller [aut, cre, cph],
  Derek W. Brown [aut, cph],
  Mitchell J. Machiela [ctb],
  Timothy A. Myers [ctb],
  NCI [cph, fnd]
Repository: CRAN
Date/Publication: 2020-06-09 10:50:03 UTC
