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%dorng%),
which provides independent random streams across workers. A new
seed argument seeds sequential runs via
set.seed() and parallel runs via
registerDoRNG(). Using set.seed() alone is not
sufficient when cores > 1.nclusters(), pvalue(),
clusters(), and get_setting().as.data.frame(), coef(),
nobs(), AIC(), and BIC() for
multiflexscan objects so that results can be extracted
without relying on the internal list structure.nb is supplied as a list, areas whose neighbor
indices fall outside [1, nrow(coordinates)] are skipped
when building the adjacency matrix, instead of stopping with an error.
Such areas are treated as adjacent to no other areas.runFleXScan) and the subsequent GLM
/ RDC steps. Previously the GLM always used the observed counts.seq_along instead of 1:length). Null
replications with no candidates contribute -Inf as the
maximum scan statistic (instead of NA).K attain the same maximum RDC,
nclust is the smallest such K
(which.max), yielding a single integer.multiflexscan() for detecting multiple spatial
disease clusters using the information criterion and scan statistic
approach of Takahashi and Shimadzu (2020), built on
rflexscan::runFleXScan().print(), summary(), and
plot() for multiflexscan objects.choropleth() to map selected clusters on an
sf object.foreach and
doSNOW.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.