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 |