multiflexscan NEWS
multiflexscan 0.1.0
Initial release
- Added
multiflexscan() for detecting multiple spatial
disease clusters using the information criterion and scan statistic
approach of Takahashi and Shimadzu (2020), built on
rflexscan::runFleXScan().
- Supports flexible and circular scan statistics, original and
restricted likelihood ratio statistics, and hot-, cold-, and both-type
cluster scanning.
- Returns candidate clusters, relative difference criterion (RDC)
values, selected number of clusters, and Monte Carlo p-values for the
overall test and individual clusters.
- Added S3 methods
print(), summary(), and
plot() for multiflexscan objects.
- Added
choropleth() to map selected clusters on an
sf object.
- Parallel Monte Carlo replications via
foreach and
doSNOW.