seq_scan_sim: Perform scan test on simulated data sequentially

In smerc: Statistical Methods for Regional Counts

Perform scan test on simulated data sequentially

Description

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.

Usage

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
)

Arguments

nsim	A positive integer indicating the number of simulations to perform.
nn	A list of nearest neighbors produced by nnpop.
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 "poisson". The other choice is "binomial".
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 ty - ein and is computed automatically if not provided.
tpop	The total population in the study area.
popin	The total population in the zone.
popout	The population outside the zone. This should be tpop - popin and is computed automatically if not provided.
cl	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.
simdist	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"
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

Value

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.

smerc documentation built on Oct. 10, 2023, 5:07 p.m.