sparrpowR: Power Analysis to Detect Spatial Relative Clusters

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>. More information about relative risk functions using kernel-density estimation can be found in J. F. Bithell (1991) <doi:10.1002/sim.4780101112>.

Version: 0.1.3
Depends: R (≥ 3.5.0), spatstat
Imports: doParallel, fields, foreach, graphics, grDevices, parallel, raster, sp, sparr, stats, utils
Suggests: tidyverse, testthat, spelling, R.rsp
Published: 2020-06-16
Author: Ian D. Buller [aut, cre, cph], Derek W. Brown [aut, cph], Mitchell J. Machiela [ctb], Timothy A. Myers [ctb], NCI [cph, fnd]
Maintainer: Ian D. Buller <ian.buller at>
License: Apache License (≥ 2.0)
NeedsCompilation: no
Language: en-US
Materials: README
CRAN checks: sparrpowR results


Reference manual: sparrpowR.pdf
Vignettes: sparrpowR: Power analysis to detect spatial relative risk clusters
Package source: sparrpowR_0.1.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: sparrpowR_0.1.3.tgz, r-oldrel: sparrpowR_0.1.3.tgz
Old sources: sparrpowR archive


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