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 [aut, cre], Mohammad Meysami [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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