Package: sparrpowR 0.2.8

Ian D. Buller

sparrpowR: 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) <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>.

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

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Bug tracker:https://github.com/machiela-lab/sparrpowr/issues

On CRAN:

5 exports 2 stars 1.34 score 46 dependencies 1 mentions 7 scripts 395 downloads

Last updated 8 months agofrom:b12fda041b. Checks:OK: 7. Indexed: yes.

Exports:jitter_powerpval_correctspatial_dataspatial_plotsspatial_power

Dependencies:abindclicodetoolsdeldirdigestdoFuturedoParalleldoRNGdotCall64fieldsforeachfuturefuture.applyglobalsgluegoftestiteratorslatticelifecyclelistenvmapsMatrixmgcvmisc3dnlmeparallellypolyclipRcpprlangrngtoolsrpartspamsparrspatstatspatstat.dataspatstat.explorespatstat.geomspatstat.linnetspatstat.modelspatstat.randomspatstat.sparsespatstat.univarspatstat.utilstensorterraviridisLite