seq_scan_sim {smerc} | R Documentation |
seq_scan_sim
efficiently performs scan.test
on a
simulated data set. The function is meant to be used internally by the
optimal_ubpop
function in the smerc package.
seq_scan_sim(
nsim = 1,
nn,
ty,
ex,
type = "poisson",
ein = NULL,
eout = NULL,
tpop = NULL,
popin = NULL,
popout = NULL,
cl = NULL,
simdist = "multinomial",
pop = NULL,
min.cases = 0,
ldup = NULL,
lseq_zones
)
nsim |
A positive integer indicating the number of simulations to perform. |
nn |
A list of nearest neighbors produced by |
ty |
The total number of cases in the study area. |
ex |
The expected number of cases for each region. The default is calculated under the constant risk hypothesis. |
type |
The type of scan statistic to compute. The
default is |
ein |
The expected number of cases in the zone. Conventionally, this is the estimated overall disease risk across the study area, multiplied by the total population size of the zone. |
eout |
The expected number of cases outside the
zone. This should be |
tpop |
The total population in the study area. |
popin |
The total population in the zone. |
popout |
The population outside the zone. This
should be |
cl |
A cluster object created by |
simdist |
Character string indicating the simulation
distribution. The default is |
pop |
The population size associated with each region. |
min.cases |
The minimum number of cases required for a cluster. The default is 2. |
ldup |
A logical vector indicating positions of duplicated zones. Not intended for user use. |
lseq_zones |
A list of logical vectors specifying the sequence of relevant zones based on ubpop constraints |
A list with the maximum statistic for each population upperbound for
each simulated data set. Each element will have a vector of maximums for
each simulated data set corresponding to the sequence of ubpop values. The
list will have nsim
elements.