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smerc  

Statistical Methods for Regional Counts
View on CRAN: Click here


Download and install smerc package within the R console
Install from CRAN:
install.packages("smerc")

Install from Github:
library("remotes")
install_github("cran/smerc")

Install by package version:
library("remotes")
install_version("smerc", "1.8.4")



Attach the package and use:
library("smerc")
Maintained by
Joshua French
[Scholar Profile | Author Map]
First Published: 2015-10-02
Latest Update: 2023-10-10
Description:
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>.
How to cite:
Joshua French (2015). smerc: Statistical Methods for Regional Counts. R package version 1.8.4, https://cran.r-project.org/web/packages/smerc. Accessed 29 Apr. 2025.
Previous versions and publish date:
0.1.5 (2015-10-02 00:31), 0.1.6 (2015-10-06 22:16), 0.2.2 (2015-11-12 19:00), 0.4.3 (2018-04-08 17:02), 0.4.5 (2018-04-20 01:47), 1.0.1 (2019-07-16 00:00), 1.0 (2019-07-15 00:23), 1.1 (2019-09-19 11:00), 1.2 (2020-05-26 20:00), 1.3.3 (2020-11-14 14:50), 1.3.4 (2021-01-16 06:40), 1.3 (2020-10-07 07:50), 1.4.2 (2021-02-13 01:10), 1.4 (2021-02-06 06:50), 1.5.2 (2021-11-23 17:10), 1.5 (2021-10-01 18:50), 1.6 (2022-01-31 17:30), 1.7.2 (2022-10-13 10:30), 1.8.2 (2023-07-15 21:30), 1.8.3 (2023-10-10 16:50)
Other packages that cited smerc R package
View smerc citation profile
Other R packages that smerc depends, imports, suggests or enhances
Complete documentation for smerc
Functions, R codes and Examples using the smerc R package
Some associated functions: all_shape_dists . arg_check_dist_ellipse . bn.test . bn.zones . cepp.sim . cepp.test . cepp.weights . clusters . color.clusters . combine.zones . csg . dc.sim . dc.test . dc.zones . dist.ellipse . distinct . dmst.sim . dmst.test . dmst.zones . edmst.sim . edmst.test . edmst.zones . elbow_point . elliptic.nn . elliptic.penalty . elliptic.sim.adj . elliptic.sim . elliptic.test . elliptic.zones . fast.sim . fast.test . fast.zones . flex.sim . flex.test . flex.zones . flex_test . flex_zones . gedist . knn . lget . logical2zones . mc.pvalue . mlf.test . mlf.zones . mlink.sim . mlink.test . mlink.zones . morancr.sim . morancr.stat . morancr.test . mst.all . mst.seq . nclusters . neast . neastw . nn.cumsum . nn2zones . nndist . nndup . noc_enn . noc_nn . noz . nydf . nypoly . nysf . nysp . nyw . optimal_ubpop . plot.smerc_cluster . plot.smerc_optimal_ubpop . plot.tango . precog.sim . precog.test . prep.mst . print.smerc_cluster . print.smerc_optimal_ubpop . print.smerc_similarity_test . print.tango . rflex.midp . rflex.sim . rflex.test . rflex.zones . rflex_zones . scan.nn . scan.sim.adj . scan.sim . scan.stat . scan.test . scan.zones . scan_stat . seq_scan_sim . seq_scan_test . sig_noc . sig_prune . smerc . smerc_cluster . stat.poisson.adj . summary.smerc_cluster . tango.stat . tango.test . tango.weights . uls.sim . uls.test . uls.zones . w2segments . zones.sum . 
Some associated R codes: RcppExports.R . arg_check_functions.R . bn.test.R . bn.zones.R . cepp.sim.R . cepp.test.R . cepp.weights.R . clusters-method.R . clusters-smerc_cluster.R . color.clusters.R . combine.zones.R . csg2.R . dc.sim.R . dc.test.R . dc.zones.R . dist.ellipse.R . distinct.R . dmst.sim.R . dmst.test.R . dmst.zones.R . edmst.sim.R . edmst.test.R . edmst.zones.R . elbow_point.R . elliptic.nn.R . elliptic.penalty.R . elliptic.sim.adj.R . elliptic.sim.old.R . elliptic.test2.R . elliptic.zones.R . fast.sim.R . fast.test.R . fast.zones.R . flex.sim.R . flex.test.R . flex.zones.R . flex_test.R . flex_zones.R . gedist.R . knn.R . lget.R . mc.pvalue.R . mlf.test.R . mlf.zones.R . mlink.sim.R . mlink.test.R . mlink.zones.R . morancr.sim.R . morancr.stat.R . morancr.test.R . mst.all.R . mst.seq.R . mst_seq_cpp.R . nclusters.R . neast.R . neastw.R . nn.cumsum.R . nn2zones.R . nndist.R . nndup.R . nnpop.R . noc_enn.R . noc_nn.R . noz.R . nydf.R . nypoly.R . nysf.R . nysp.R . nyw.R . optimal_ubpop-plot.R . optimal_ubpop-print.R . optimal_ubpop.R . preamble.R . precog.sim.R . precog.test.R . rflex.midp.R . rflex.sim.R . rflex.test.R . rflex.zones.R . rflex_zones.R . scan.sim.adj.R . scan.sim.old.R . scan.stat.R . scan.test2.R . scan.zones.R . scan_stat.R . seq_scan_sim.R . seq_scan_test.R . sig_noc.R . sig_prune.R . smerc-package.R . smerc_cluster-plot.R . smerc_cluster-print.R . smerc_cluster-summary.R . smerc_cluster.R . smerc_similarity_test-print.R . stat.poisson.adj.R . tango-plot.R . tango-print.R . tango.stat.R . tango.test.R . tango.weights.R . uls.sim.R . uls.test.R . uls.zones.R . zones.sum.R .  Full smerc package functions and examples
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