Space-Time Anomaly Detection using Scan Statistics

Documentation for package ‘scanstatistics’ version 1.1.1

coords_to_knn	Get the k nearest neighbors for each location, given its coordinates.
df_to_matrix	Convert a long data frame to a wide matrix.
dist_to_knn	Given a distance matrix, find the k nearest neighbors.
flexible_zones	Computes the flexibly shaped zones as in Tango (2005).
get_zone	Extract a zone from the set of all zones.
gumbel_pvalue	Calculate the Gumbel p-value for a scan statistic.
knn_zones	Find the increasing subsets of k nearest neighbors for all locations.
mc_pvalue	Calculate the Monte Carlo p-value for a scan statistic.
NM_geo	Longitude and latitude of New Mexico county seats.
NM_map	Data to plot the counties of New Mexico.
NM_popcas	Population and brain cancer cases in New Mexico counties during 1973-1991.
scanstatistics	scanstatistics: Space-time anomaly detection using scan statistics.
scan_bayes_negbin	Calculate the negative binomial bayesian scan statistic..
scan_eb_negbin	Calculate the expectation-based negative binomial scan statistic.
scan_eb_poisson	Calculate the expectation-based Poisson scan statistic.
scan_eb_zip	Calculate the expectation-based ZIP scan statistic.
scan_pb_poisson	Calculate the population-based Poisson scan statistic.
scan_permutation	Calculate the space-time permutation scan statistic.
score_locations	Score each location over zones and duration.
top_clusters	Get the top (non-overlappig) clusters.