# Statistical Methods for Regional Counts

## Documentation for package ‘smerc’ version 1.4.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

bn.test | Besag-Newell Test
bn.zones | Determine case windows (circles)
casewin | Determine case windows (circles)
cepp.sim | Perform 'cepp.test' on simulated data
cepp.test | Cluster Evalation Permutation Procedure Test
cepp.weights | Compute region weights for 'cepp.test'
color.clusters | Color clusters
combine.zones | Combine distinct zones
csg2 | Construct connected subgraphs
dc.sim | Perform 'dc.test' on simulated data
dc.test | Double Connection spatial scan test
dc.zones | Determine zones for the Double Connected scan test
dist.ellipse | Compute minor axis distance of ellipse
distinct | Distinct elements of a list
dmst.sim | Perform 'dmst.test' on simulated data
dmst.test | Dynamic Minimum Spanning Tree spatial scan test
dmst.zones | Determine zones for the Dynamic Minimum Spanning Tree scan test
dweights | Distance-based weights for 'tango.test'
edmst.sim | Perform 'edmst.test' on simulated data
edmst.test | Early Stopping Dynamic Minimum Spanning Tree spatial scan test
edmst.zones | Determine zones for the early stopping dynamic Minimum Spanning Tree scan test
elbow_point | Compute Elbow Point
elliptic.nn | Nearest neighbors for elliptic scan
elliptic.sim | Perform 'elliptic.test' on simulated data
elliptic.test | Elliptical Spatial Scan Test
elliptic.zones | Determine zones for 'elliptic.test'
fast.sim | Perform 'fast.test' on simulated data
fast.test | Fast Subset Scan Test
fast.zones | Determine sequence of fast subset scan zones
flex.sim | Perform 'flex.test' on simualated data
flex.test | Flexibly-shaped Spatial Scan Test
flex.zones | Determine zones for flexibly shaped spatial scan test
flex_test | Flexibly-shaped Spatial Scan Test
flex_zones | Determine zones for flexibly shaped spatial scan test
knn | K nearest neighbors
lcsg2 | Construct connected subgraphs
lget | Apply getElement over a list
lgetElement | Apply getElement over a list
mlf.test | Maxima Likelihood First Scan Test
mlf.zones | Determine zones for the maxima likelihood first algorithm.
mlink.sim | Perform 'mlink.test' on simulated data
mlink.test | Maximum Linkage spatial scan test
mlink.zones | Determine zones for the Maximum Linkage scan test
mst.all | Minimum spanning tree for all regions
mst.seq | Minimum spanning tree sequence
nn.cumsum | Cumulative sum over nearest neighbors
nn2zones | Convert nearest neighbors list to zones
nndist | Determine nearest neighbors based on maximum distance
nndup | Determine duplicates in nearest neighbor list
nnpop | Determine nearest neighbors with population constraint
noz | Determine non-overlapping zones
nydf | Leukemia data for 281 regions in New York.
nypoly | SpatialPolygonsDataFrame for New York leukemia data.
nyw | Adjacency matrix for New York leukemia data.
optimal_ubpop | Optimal Population Upper Bound Statistics
plot.smerc_cluster | Plot object of class 'smerc_cluster'.
plot.smerc_optimal_ubpop | Plot object of class 'smerc_optimal_ubpop'.
plot.tango | Plots an object of class 'tango'.
print.smerc_cluster | Print object of class 'smerc_cluster'.
print.smerc_optimal_ubpop | Print object of class 'smerc_optimal_ubpop'.
print.tango | Print object of class 'tango'.
rflex.midp | Compute middle p-value
rflex.sim | Perform 'rflex.test' on simualated data
rflex.test | Restricted Flexibly-shaped Spatial Scan Test
rflex.zones | Determine zones for flexibly shaped spatial scan test
rflex_zones | Determine zones for flexibly shaped spatial scan test
scan.nn | Determine nearest neighbors with population constraint
scan.sim | Perform 'scan.test' on simulated data
scan.stat | Spatial scan statistic
scan.test | Spatial Scan Test
scan.zones | Determine zones for the spatial scan test
scan_stat | Spatial scan statistic
scsg2 | Construct connected subgraphs
sget | Apply getElement over a list
sgetElement | Apply getElement over a list
sig_noc | Return most significant, non-overlapping zones
smerc | smerc
smerc_cluster | Prepare 'smerc_cluster'
stat.binom | Spatial scan statistic
stat.poisson | Spatial scan statistic
stat_binom | Spatial scan statistic
stat_poisson | Spatial scan statistic
summary.smerc_cluster | Summary of 'smerc_cluster' object
tango.stat | Tango's statistic
tango.test | Tango's clustering detection test
tango.weights | Distance-based weights for 'tango.test'
uls.sim | Perform 'uls.test' on simulated data
uls.test | Upper Level Set Spatial Scan Test
uls.zones | Determine sequence of ULS zones.
zones.sum | Sum over zones