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>.
Version: 0.2.8 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 Published: 2024-01-23 DOI: 10.32614/CRAN.package.sparrpowR 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 alumni.emory.edu> BugReports: https://github.com/machiela-lab/sparrpowR/issues License: Apache License (≥ 2.0) URL: https://github.com/machiela-lab/sparrpowR NeedsCompilation: no Language: en-US Citation: sparrpowR citation info Materials: README, NEWS CRAN checks: sparrpowR results [issues need fixing before 2025-09-03]RetroSearch is an open source project built by @garambo | Open a GitHub Issue
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