This function computes the MG (Multivariate Gaussian scan statistic).
MG(
data,
MC = 999,
typeI = 0.05,
nbCPU = 1,
variable_names = NULL,
initialization,
permutations
)
An object of class ResScanOutputMulti.
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.
numeric. Number of Monte-Carlo permutations to evaluate the statistical significance of the clusters. By default: 999.
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.
numeric. Number of CPU. If nbCPU > 1 parallelization is done. By default: 1.
character. Names of the variables. By default NULL.
list. Initialization for the scan procedure (see InitScan
for more details).
matrix. Indices of permutations of the data.
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.