spscan.sim: Compute spatial scan statistics for simulated data

In smacpod: Statistical Methods for the Analysis of Case-Control Point Data

Compute spatial scan statistics for simulated data

Description

Compute spatial scan statistics for simulated data

Usage

spscan.sim(nsim, nnlist, N, N1, Nin, Nout, const, cl)

Arguments

nsim	The number of simulations from which to compute the p-value. A non-negative integer. Default is 499.
nnlist	A list of nearest neighbors from the nn function.
N	Number of event locations
N1	Number of case events
Nin	Number of event locations in each window
Nout	Number of event locations outside each window
const	Constant for computing test statistic
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.

Value

A vector of maximum test statistics

smacpod documentation built on Oct. 31, 2024, 1:08 a.m.