MG: MG scan procedure

View source: R/scan_multi.R

MGR Documentation

MG scan procedure

Description

This function computes the MG (Multivariate Gaussian scan statistic).

Usage

MG(
  data,
  MC = 999,
  typeI = 0.05,
  nbCPU = 1,
  variable_names = NULL,
  initialization,
  permutations
)

Arguments

data

matrix. Matrix of the data, the rows correspond to the sites (or the individuals if the observations are by individuals and not by sites) and each column represents a variable.

MC

numeric. Number of Monte-Carlo permutations to evaluate the statistical significance of the clusters. By default: 999.

typeI

numeric. The desired type I error. A cluster will be evaluated as significant if its associated p-value is less than typeI. By default 0.05.

nbCPU

numeric. Number of CPU. If nbCPU > 1 parallelization is done. By default: 1.

variable_names

character. Names of the variables. By default NULL.

initialization

list. Initialization for the scan procedure (see InitScan for more details).

permutations

matrix. Indices of permutations of the data.

Value

An object of class ResScanOutputMulti.

References

Lionel Cucala and Michaël Genin and Caroline Lanier and Florent Occelli (2017). A Multivariate Gaussian Scan Statistic for Spatial Data. Spatial Statistics, 21, 66-74.


HDSpatialScan documentation built on May 31, 2023, 7:52 p.m.