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