bn.test |
Besag-Newell Test |
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 |
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 |
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. |
plot.smerc_cluster |
Plot object of class 'smerc_cluster'. |
plot.tango |
Plots an object of class 'tango'. |
print.smerc_cluster |
Print object of class 'smerc_cluster'. |
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 |
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 |
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_cluster |
Prepare 'smerc_cluster' |
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 cluster 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 |