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smerc: Statistical Methods for Regional Counts

Implements statistical methods for analyzing the counts of areal data, with a focus on the detection of spatial clusters and clustering. The package has a heavy emphasis on spatial scan methods, which were first introduced by Kulldorff and Nagarwalla (1995) <doi:10.1002/sim.4780140809> and Kulldorff (1997) <doi:10.1080/03610929708831995>.

Version: 1.8.4
Depends: R (≥ 3.6)
Imports: pbapply, Rcpp
LinkingTo: Rcpp, RcppProgress
Suggests: crayon, lintr, maps, testthat, SpatialEpi, knitr, rmarkdown, sf, sp
Published: 2024-10-24
DOI: 10.32614/CRAN.package.smerc
Author: Joshua French ORCID iD [aut, cre], Mohammad Meysami ORCID iD [ctb]
Maintainer: Joshua French <joshua.french at ucdenver.edu>
BugReports: https://github.com/jfrench/smerc/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: NEWS
In views: Spatial
CRAN checks: smerc results

Documentation:

Reference manual: smerc.pdf
Vignettes: Demonstration of smerc package (source, R code)

Downloads:

Package source: smerc_1.8.4.tar.gz
Windows binaries: r-devel: smerc_1.8.4.zip, r-release: smerc_1.8.4.zip, r-oldrel: smerc_1.8.4.zip
macOS binaries: r-release (arm64): smerc_1.8.4.tgz, r-oldrel (arm64): smerc_1.8.4.tgz, r-release (x86_64): smerc_1.8.4.tgz, r-oldrel (x86_64): smerc_1.8.4.tgz
Old sources: smerc archive

Reverse dependencies:

Reverse imports: FlexScan, PhageCocktail, smacpod

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.