Performs a series of sequential scan tests by ubpop. Only minimal information is returned for each test. This is intended for internal use by the smerc package.
seq_scan_test(
coords,
cases,
pop,
ex = sum(cases)/sum(pop) * pop,
nsim = 499,
alpha = 0.05,
ubpop_seq = seq(0.01, 0.5, len = 50),
longlat = FALSE,
cl = NULL,
type = "poisson",
min.cases = 0,
simdist = "multinomial"
)Returns a list of length(ubpop_seq). Each element of the
list has "pruned" set of results (as a list) for a scan test. Element of
the pruned list has the elements tobs, zones, pvalue.
An \(n \times 2\) matrix of centroid coordinates for the regions in the form (x, y) or (longitude, latitude) is using great circle distance.
The number of cases observed in each region.
The population size associated with each region.
The expected number of cases for each region. The default is calculated under the constant risk hypothesis.
The number of simulations from which to compute the p-value.
The significance level to determine whether a cluster is signficant. Default is 0.10.
A strictly increasing numeric vector with values between
min(pop)/sum(pop) and 1. The default is seq(0.01, 0.5, len = 50).
The default is FALSE, which
specifies that Euclidean distance should be used. If
longlat is TRUE, then the great circle
distance is used to calculate the intercentroid
distance.
A cluster object created by makeCluster,
or an integer to indicate number of child-processes
(integer values are ignored on Windows) for parallel evaluations
(see Details on performance).
It can also be "future" to use a future backend (see Details),
NULL (default) refers to sequential evaluation.
The type of scan statistic to compute. The
default is "poisson". The other choice
is "binomial".
The minimum number of cases required for a cluster. The default is 2.
Character string indicating the simulation
distribution. The default is "multinomial", which
conditions on the total number of cases observed. The
other options are "poisson" and "binomial"
Joshua French
scan.test