Power Analysis to Detect Spatial Relative Risk Clusters R package sparrpowR version 0.2.9 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. Bithell (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>. Software Depends: R (>= 3.5.0) Imports: doFuture, doRNG, fields, foreach, future, graphics, grDevices, iterators, lifecycle, sparr, spatstat.geom, spatstat.random, stats, terra Suggests: geojsonsf, ggmap, ggplot2, sf, spatstat.data, spelling, testthat, tidyterra, R.rsp Ian D. Buller <ian.buller@alumni.emory.edu> Comprehensive R Archive Network (CRAN) Ian D. Buller [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-9477-8582>), Derek W. Brown [aut, cph] (ORCID: <https://orcid.org/0000-0001-8393-1713>), Mitchell J. Machiela [ctb] (ORCID: <https://orcid.org/0000-0001-6538-9705>), Timothy A. Myers [ctb], NCI [cph, fnd] Apache License (>= 2.0) 2025-08-29 application/tgz https://CRAN.R-project.org/package=sparrpowR doi:10.32614/CRAN.package.sparrpowR en-US