Power Analysis to Detect Spatial Relative Risk 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) . Details about kernel density estimation can be found in J. F. Bithell (1990) . More information about relative risk functions using kernel density estimation can be found in J. F. Bithell (1991) .


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install.packages("sparrpowR")

0.2.1 by Ian D. Buller, a month ago


https://github.com/machiela-lab/sparrpowR


Report a bug at https://github.com/machiela-lab/sparrpowR/issues


Browse source code at https://github.com/cran/sparrpowR


Authors: Ian D. Buller [aut, cre, cph] , Derek W. Brown [aut, cph] , Mitchell J. Machiela [ctb] , Timothy A. Myers [ctb] , NCI [cph, fnd]


Documentation:   PDF Manual  


Apache License (>= 2.0) license


Imports doFuture, doRNG, fields, foreach, future, graphics, grDevices, iterators, lifecycle, raster, sp, sparr, stats

Depends on spatstat.geom, spatstat.core, spatstat.linnet, spatstat

Suggests testthat, spelling, R.rsp


See at CRAN