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