Combine distinct zones
Elliptical Spatial Scan Test
Determine zones for elliptic.test
Construct connected subgraphs
Maxima Likelihood First Scan Test
Nearest neighbors for elliptic scan
Determine case windows (circles)
Perform elliptic.test on simulated data
Color clusters
Argument checking for many scan-like functions
Determine zones for the Maximum Linkage scan test
K nearest neighbors
Compute Monte Carlo p-value
Minimum spanning tree for all regions
Distinct elements of a list
Restricted Flexibly-shaped Spatial Scan Test
Determine nearest neighbors for minimum spanning trees
Sum over zones
Perform rflex.test on simualated data
Determine zones for flexibly shaped spatial scan test
Perform fast.test on simulated data
Fast Subset Scan Test
Distance-based weights
Perform edmst.test on simulated data
Return nicely formatted results from mst.all
Perform dc.test on simulated data
Determine zones for the maxima likelihood
first algorithm.
Dynamic Minimum Spanning Tree spatial scan test
Perform dmst.test on simulated data
Determine zones for the Dynamic Minimum Spanning Tree scan test
Perform flex.test on simualated data
Determine sequence of fast subset scan zones
a simplified prep.scan for non-scan methods
orders on p-value instead of test statistic
Compute middle p-value
Convert nearest neighbors list to zones
Determine nearest neighbors based on maximum distance
Double Connection spatial scan test
Perform scan.test on simulated data
Spatial scan statistic
Prepare scan results
Maximum Linkage spatial scan test
Upper Level Set Spatial Scan Test
Perform mlink.test on simulated data
Perform uls.test on simulated data
Determine duplicates in nearest neighbor list
Determine zones for the early stopping dynamic Minimum Spanning Tree scan test
Early Stopping Dynamic Minimum Spanning Tree spatial scan
test
Compute minor axis distance of ellipse
Determine zones for the Double Connected scan test
Flexibly-shaped Spatial Scan Test
Determine zones for flexibly shaped spatial scan test
Cumulative sum over nearest neighbors
Minimum spanning tree sequence
Plots object of class scan.
Plots an object of class tango.
Returns segments connecting neighbors
Tango's cluster detection test
Determine sequence of ULS zones.
Tango's statistic
Spatial Scan Test
SpatialPolygonsDataFrame for New York leukemia data.
Leukemia data for 281 regions in New York.
Adjacency matrix for New York leukemia data.
Determine zones for the spatial scan test
Argument checking for dmst.zones, dc.zones, and
mlink.zones functions
Check argments if dist.ellipse
Argument checking for tango.test
Besag-Newell Test
Check arguments of rflex.zones
Argument checking for *.sim functions
Argument checking for scan.zones
Argument checking for bn.test
Return all shapes and distances for each zone