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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:

Please use the canonical form https://CRAN.R-project.org/package=smerc to link to this page.

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.
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